## Qualifications
* Experience with computer hardware (assembly, repair, troubleshooting)
* Linux OS familiarity
* Able to lift 50 lbs and work in elevated areas
* Strong communication & time-management skills
## Responsibilities
* Troubleshoot and repair servers & networking hardware
* Perform hardware/network diagnostics & root-cause analysis
* Support Linux-based systems
* Assemble, install, and maintain equipment
* Maintain inventory and documentation
* Create basic scripts (Python/Bash)
* Participate in 24/7 on-call rotation

## Full Description
< data-start="83" data-end="149"> Data Center Technician Onsite | Multiple U.S. Locations

We re hiring Data Center Technicians to support hardware, networking, and server infrastructure across multiple data center sites. This is a 100% onsite role.

Long Term Contract Position

Locations:

Orangeburg, NY Livingston, NJ Muskogee, OK Round Rock, TX Marble, NC Clarksville, VA Ellendale, ND Afton, TXDenton, TX Las Vegas, NV

What You ll Do

• Troubleshoot and repair servers & networking hardware

• Perform hardware/network diagnostics & root-cause analysis

• Support Linux-based systems

• Assemble, install, and maintain equipment

• Maintain inventory and documentation

• Create basic scripts (Python/Bash)

• Participate in 24/7 on-call rotation

What We re Looking For

• Experience with computer hardware (assembly, repair, troubleshooting)

• Linux OS familiarity

• Basic networking knowledge (Cisco/Juniper is a plus)

• Scripting experience (Python/Bash) preferred

• Able to lift 50 lbs and work in elevated areas

• Strong communication & time-management skills

Preferred

• Prior data center experience

• Associate degree or equivalent IT experience



## Qualifications
* Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field
* 1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions
* Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools
* Expert in python programming
* 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures
* 1+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings
* Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI)
* Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development
* Familiar with higher level trends in LLMs and open-source platforms
* Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions
## Benefits
* S&P Global states that the anticipated base salary range for this position is $130,000 - $170,000
* Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role
* In addition to base compensation, this role is eligible for an annual incentive plan
* This role is eligible to receive additional S&P Global benefits
* We take care of you, so you can take care of business
* Health & Wellness: Health care coverage designed for the mind and body
* Flexible Downtime: Generous time off helps keep you energized for your time on
* Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills
* Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs
* Family Friendly Perks: It’s not just about you
* S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families
* Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference
* For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
* 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
## Responsibilities
* ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines
* Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements
* Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions
* ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT
* Implement model optimizations to improve system efficiency
* NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability
* Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems
* Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing
* Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads
* Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions

## Full Description
About the Role:

Grade Level (for internal use):

10

Sr Data Scientist– NLP, LLM and GenAI

S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.

Responsibilities:

• ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.

• ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.

• NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.

• Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.

• Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.

• Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.

• Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.

Compensation/Benefits Information (US Applicants Only):

S&P Global states that the anticipated base salary range for this position is $130,000 - $170,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.

In addition to base compensation, this role is eligible for an annual incentive plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

What We’re Looking For:

• Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.

• 1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.

• Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in python programming.

• 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.

• 1+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.

• Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI)

• Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms

• Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.

About S&P Global Ratings

At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.

S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

For more information, visit www.spglobal.com/ratings

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

-----------------------------------------------------------

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

-----------------------------------------------------------

20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

Job ID: 323342

Posted On: 2025-12-09

Location: New York, New York, United States




## Full Description
My client, a leading insurance company in Hong Kong, is looking for a Data Science (Assistant) Manager.

Responsibilities:

• Support the development of different data science initiatives, including deep learning models and statistically advanced model scripts, to support data science and analytics initiatives on AI.

• Work on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum.

• Support the development of LLM-related projects, eg, Knowledge Bot, Document Understanding, etc.

• Support C360 Datamart enhancement and pipelines maintenance.

• Monitor and enhance the performance and effectiveness of existing models in production.

• Manage BI solution development and implementation for various MI reporting using Power BI.

• Deliver insights from the data visualization process from a customer-centric approach.

Requirements:

• Bachelor’s or advanced degree in relevant fields such as Data Science, Statistics, Mathematics, or related disciplines.

• 7–8 years of professional experience in data analytics, including roles as a statistician, analyst, or data scientist, with at least 2 years of managerial experience.

• Strong stakeholder management and interpersonal skills.

• Proven ability to mentor and develop junior team members.

• Experience with Azure and Databricks is a plus.

• Hands-on experience in RAG (Red-Amber-Green) design and implementation.

• Practical knowledge of deep learning frameworks such as TensorFlow and PyTorch.

• Solid understanding of the end-to-end model development process, including data cleansing, feature engineering, model training, and validation, along with familiarity with underlying algorithms.

• Proficiency with data science libraries such as Pandas, Spark, NumPy, and Scikit-learn.

• Strong programming skills in Python and SQL.

• Web programming experience is an advantage.

• Prior exposure to or knowledge of the insurance industry will be an asset.

• Proactive, with a positive, can-do attitude.

• Excellent command of English; proficiency in Cantonese and Mandarin is preferred.

• Candidates with less experience may be considered as Assistant Manager.

Interested parties, please click to https://www.adecco.com/en-hk/jobs/system-analyst-application-quarry-bay/jn-112025-182878 on this role HK via Adecco website with your CV.

Please note that only short-listed candidates will be notified. All information gathered will be treated in strict confidence and solely used for recruitment purposes.



## Qualifications
* We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework)
* Applicants must be proficient in creating and formatting technical documents using LaTeX
* You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams)
* Other qualifications: - Deep understanding of core engineering principles and real-world systems
* Ability to communicate step-by-step reasoning, assumptions, and derivations clearly
* Strong intuition for problem difficulty, structure, and conceptual progression
* Detail-oriented verification of results and internal consistency
* More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1–2 days after approval ## 5\
* Submit your resume or CV highlighting your engineering background and relevant accomplishments
* Participate in a short interview (20–30 minutes)
* Complete a brief form outlining your experience with problem design, engineering challenges, or teaching
## Benefits
* Compensation & Contract Terms - $60–80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\
## Responsibilities
* Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking
* Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints
* Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies
* Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics
* Maintain high standards of technical precision, rigor, and conceptual depth
* Research or teaching experience involving applied problem formulation and quantitative modeling
* Selected applicants will receive follow-up steps within a few days

## Full Description
## 1\. Role Overview

Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models—specifically those that cause the AI to fail or demonstrate reasoning limits—while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications **Note:** Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - **Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field.** - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1–2 days after approval ## 5\. Compensation & Contract Terms - $60–80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20–30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs.

Its investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.




## Full Description
Key Responsibilities:

1. IoT System Development

· Design and implement IoT-based solutions for vending machines, including hardware integration, firmware development, and cloud communication.

· Develop telemetry systems for real-time data collection on sales, inventory, temperature, energy usage, and machine status.

· Work with various communication protocols (MQTT, Modbus, TCP/IP, LoRa, GSM,Wi-Fi, etc.).

· Integrate third-party IoT platforms or develop custom dashboards for monitoring and reporting.

2. Hardware Integration

· Interface with vending controllers, sensors, payment systems, and telemetry modules.

· Configure and calibrate smart devices (e.g., sensors, gateways, and controllers).

· Ensure reliable data transmission and secure connectivity between field devices and backend systems.

3. Software & Data Management

· Develop or integrate APIs for data exchange with ERP, CRM, or POS systems.

· Manage databases and data visualization dashboards.

· Collaborate with software developers to build mobile/web applications for remote monitoring and control.

· Conduct data analysis to generate actionable insights for operations and maintenance.

Job Type: Full-time

Pay: From QAR7,000.00 per month




## Full Description
Liaise with clients to gather requirements and propose appropriate ELV solutions.Provide technical clarification and support to clients, project managers, vendors, and contractors.System design for ELV such as brand Dahua, Hikvision, ZKTeco, EntryPass and MicroEngine.Conduct system troubleshooting, diagnostics, testing and configuration.Prepare technical proposals, quotation and related documentation.Support sales initiatives and contribute to KPI achievement.Provide after-sales services including follow-ups and customer support.Attend training and stay updated on advancements in AI and ELV technologies.

We are seeking a detail-oriented and technically competent ELV Solution Specialist (CCTV Access AI) to contribute to the design, development, and execution of ELV and intelligent technology solutions. The ideal candidate will support pre-sales and post-sales activities, including solution proposal, system configuration, on-site validation, and client briefings. This position requires a strong technical foundation in ELV systems, particularly CCTV surveillance, access control, and AI-based analytical tools, ensuring seamless integration within project scopes. Candidate ProfileInterest in AI technologies and ELV systems.Strong communication, organisational and analytical skills.Relevant experience in ELV, technical support, system design or project coordination is advantageous.

Opportunities for training, certification, and skill developmentClear career growth paths in ELV, AI solutions, and technical rolesSupportive and professional environment that encourages innovation and long-term stability




## Full Description
Join our expert bench — fractional CTO advisors wanted (hourly)

Title: Fractional CTO / AI Strategy Council — Remote (Contractor)

Location: Remote - Global (offshore-friendly to Western Europe, U.S., Canada, Australia, Latin America, Israel, Singapore, Malaysia, South East Asia)

Base fee: USD $50 - $250/hr ( paid via bank direct deposit)

Employment type: Contractor

Company: Shae Group

Website: https://shae.group

Who We Are

Shae Group is a global AI-first technology and services group building precision AI products across health, wellbeing, education, human performance and enterprise infrastructure. We move fast, prioritize safety and reliability, and use expert judgement plus tooling to de-risk decisions and accelerate product outcomes.

Who You Are

You are a senior technology leader (CTO / Head of AI / Distinguished Engineer) who wants to advise high-impact AI product decisions. You provide concise, high-leverage guidance — design reviews, threat models, eval audits, ADRs and playbooks — and can move between strategy and technical detail. You are experienced in shipping AI at scale, communicating clearly, and delivering artifacts that leaders act upon.

Responsibilities

• Run monthly strategy clinics, design reviews and red-team sessions; produce ADRs, threat models and safety/eval audit reports.

• Produce high-leverage artifacts: reference architectures, guardrail policies, vendor RFPs, and buy/build/partner matrices.

• Be on-call for critical decisions and provide async ADR reviews; contribute to a searchable knowledge base of decisions and outputs.

• Advise on model-quality, reliability, and cost/latency tradeoffs; recommend monitoring, eval and retraining guardrails.

Requirements

Must-have qualifications

• 10+ years’ senior technical leadership (CTO, Head of AI, Distinguished Engineer) with production AI/ML at scale.

• Proven experience in system design, safety/ threat modelling, model/eval frameworks, or shipping LLM/agent features.

• Strong written and verbal communication skills; history of producing decision-ready artifacts (ADRs, diagrams, audits).

Nice-to-have

• Deep experience in regulated health or clinical AI (privacy, DPIA, audit trails).

• Prior fractional/advisory or board-level experience advising engineering/AI teams.

Benefits

Compensation

Hourly: USD $50 - $250/hr per hour depending on specialty and seniority

Engagement term: Typically 6–12 months with flexible scope and deliverables.

Payment & contractor terms

Independent Contractor status only. Payment in USD via Wise or bank direct deposit. Hourly invoicing. No employee benefits.

How to apply

• Click Apply → submit 2 authored artifacts (deck or ADR) and a short Loom explaining an AI decision you influenced and how you measured impact.

• Must complete a self-initiated Ai-video interview call and personality profile survey.

• Selected advisors invited to a short design clinic and onboarding call.

Closing note

Join a focused council of experts that materially improves decision speed, model quality and platform reliability. We move fast and value concise, high-impact advice — apply with artifacts and a short Loom.




## Full Description
About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Please apply by January 12, 2026

Anthropic Fellows Program Overview

The Anthropic Fellows Program is designed to accelerate AI safety research and foster research talent. We provide funding and mentorship to promising technical talent - regardless of previous experience - to research the frontier of AI safety for four months.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In our previous cohorts, over 80% of fellows produced papers (more below).

We run multiple cohorts of Fellows each year. This application is for our next two cohorts, starting in May and July 2026.

What to Expect

• Direct mentorship from Anthropic researchers

• Access to a shared workspace (in either Berkeley, California or London, UK)

• Connection to the broader AI safety research community

• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAN & access to benefits (benefits vary by country)

• Funding for compute (~$15k/month) and other research expenses

Mentors, Research Areas, & Past Projects

Fellows will undergo a project selection & mentor matching process. Potential mentors amongst others include:

• Jan Leike

• Sam Bowman

• Sara Price

• Alex Tamkin

• Nina Panickssery

• Trenton Bricken

• Logan Graham

• Jascha Sohl-Dickstein

• Nicholas Carlini

• Joe Benton

• Collin Burns

• Fabien Roger

• Samuel Marks

• Kyle Fish

• Nina Rimsky

• Ethan Perez

Our mentors will lead projects in select AI safety research areas, such as:

• Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.

• Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.

• Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.

• Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.

• AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.

On our Alignment Science and Frontier Red Team blogs, you can read about past projects, including:

• AI agents find $4.6M in blockchain smart contract exploits: Winnie Xiao and Cole Killian, mentored by Nicholas Carlini and Alwin Peng

• Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data: Alex Cloud and Minh Le, et al., mentors including Samuel Marks and Owain Evans

• Open-source circuits: Michael Hanna and Mateusz Piotrowski with mentorship from Emmanuel Ameisen and Jack Lindsey

For a full list of representative projects for each area, please see these blog posts: Introducing the Anthropic Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions.

You may be a good fit if you

• Are motivated by reducing catastrophic risks from advanced AI systems

• Are excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit here at Anthropic. In previous cohorts, over 40% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on safety at other organizations.

• Have a strong technical background in computer science, mathematics, physics, cybersecurity, or related fields

• Thrive in fast-paced, collaborative environments

• Can implement ideas quickly and communicate clearly

Strong candidates may also have:

• Experience with empirical ML research projects

• Experience working with Large Language Models

• Experience in one of the research areas mentioned above

• Experience with deep learning frameworks and experiment management

• Track record of open-source contributions

Candidates must be:

• Fluent in Python programming

• Available to work full-time on the Fellows program for 4 months

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Interview process

The interview process will include an initial application & references check, technical assessments & interviews, and a research discussion.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAN, with an expectation of 40 hours per week, for 4 months (with possible extension).

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Applications and interviews are managed by Constellation, our official recruiting partner for this program. Clicking "Apply here" will redirect you to Constellation's application portal. You can expect to receive emails from Constellation with application updates.

Apply here

Important: Below are Anthropic's policies for full time roles. Please note that these expectations (regarding visas and location) are not applicable for the fellows program. Please go straight to the link above.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process




## Full Description
About InVitro Capital InVitro Capital is a U.

S.-based venture studio and fund.

We build and fund companies from idea to exit, focusing on technology-driven businesses that solve real-world problems.

Our portfolio spans healthcare, home services, and sales technology.

Our engineering philosophy is simple: small senior teams, extreme ownership, hands-on builders, and AI-native products.

We operatewith a builder culture where engineers have end-to-end responsibility for launching and scaling AI-powered products across the studio.

Role Overview We are looking for a highly skilled AI Engineering Lead who thrives at the frontier of applied AI — someone who builds real-world ML and LLM systems, not academic experiments.

This role is designed for senior builders who enjoy crafting end-to-end AI pipelines, optimizing models for production, and integrating AI capabilities directly into high-scale products.

You will: Design and train advanced models Build and optimize data and inference pipelines Deploy AI systems to production with reliability and scale Collaborate closely with backend and product teams Drive excellence across the AI lifecycle This is a hands-on senior IC role for engineers who want to build AI systems that matter.

What We Offer Compensation: $3,000–$3,800 USD/month base + bonus Health insurance Social insurance Paid Time Off (PTO) High ownership and autonomy Opportunity to build advanced AI systems across multiple ventures A culture optimized for speed, impact, and technical excellence Schedule & Work Setup Cairo-based candidates preferred Hybrid: expected at the Cairo office at least once per week Monday–Friday, aligned with U.

S. Pacific Time High-autonomy, high-velocity engineering environment What You’ll Do Build End-to-End AI Systems Architect and implement data pipelines for training, evaluation, and real-time or streaming inference.

Build, fine-tune, and integrate ML, NLP, LLM, and/or Computer Vision models using Python, PyTorch, TensorFlow, and Hugging Face.

Implement retrieval pipelines, embeddings, and vector database integrations.

Deploy Production-Grade AI Ship reliable, high-performance inference services using Docker, Kubernetes, and cloud platforms (Azure preferred).

Design APIs and microservices that integrate models into user-facing applications.

Optimize inference latency, throughput, and cost efficiency.

Model Monitoring & Improvement Track model drift, accuracy, performance, and stability.

Continuously improve production models through retraining, evaluation, and enhancements.

Implement observability and monitoring across the ML lifecycle.

Champion MLOps Excellence Maintain CI/CD pipelines for ML systems.

Set up and manage experiment tracking, model registries, and reproducibility workflows.

Ensure robust automation and smooth model deployment processes.

Qualifications Required 10+ years of experience building and deploying ML/AI systems in production.

Advanced proficiency in Python, with strong expertise in PyTorch or TensorFlow.

Strong understanding of machine learning, deep learning, data engineering, and distributed training.

Hands-on experience with LLMs, NLP, CV, or recommender systems.

Strong MLOps and cloud-native engineering experience.

Experience deploying AI systems on Azure, AWS, or GCP.

Proficiency with Docker, Kubernetes, and scalable microservice architectures.

Strong debugging, optimization, and performance tuning abilities.

Experience working in fast-paced, high-ownership startup environments.

Excellent communication and cross-functional collaboration skills.

Huge Plus Experience with streaming inference or real-time ML systems.

Familiarity with monitoring tooling such as Prometheus, Grafana, or ELK/EFK.

Contributions to open-source ML/AI projects or a strong GitHub portfolio.

Experience building 0→1 systems or working in high-growth technical environments.




## Full Description
Working at Atlassian<\/strong>Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both.<\/p>

As a distributed-first company, all interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at

go.atlassian.com/distributed<\/u>.<\/p>

Your Future Org<\/strong><\/p>

Atlassian\u2019s Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian!<\/p>

Your Future Team<\/strong><\/p>

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Research Intern, where you'll have the opportunity to work on advanced machine learning (ML) and artificial intelligence (AI) technologies, particularly focusing on areas such as Large language models (LLMs), Generative AI, Conversational Agents, and AI Optimization. You\u2019ll be part of a team that pioneers innovations to address complex real-world problems, developing state-of-the-art AI solutions that will ultimately drive impact for Enterprises.<\/p>

As a PhD intern, you will gain hands-on experience in both foundational research and practical applications, contributing to the training, evaluation and optimized inferencing of AI models that could be used by millions of customers. You will collaborate closely with experienced researchers and engineers to push the boundaries of what\u2019s possible with AI, while gaining invaluable insights into industrial research and development.<\/p>

This internship is designed for individuals passionate about exploring new frontiers in AI and machine learning research. You\u2019ll work in a stimulating environment with some of the brightest minds in the field, gaining exposure to both academic and applied research challenges. We are committed to providing a supportive and inclusive work environment where interns are empowered to contribute significantly to ongoing research that improves teamwork and collaboration in an Enterprise.<\/p>

Responsibilities<\/h2>

Responsibilities<\/strong><\/p>

• Collaborate cross-functionally<\/strong> with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products.<\/p><\/li>

• Curate, preprocess, and manage large-scale datasets<\/strong> for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments.<\/p><\/li>

• Conduct continued training, fine-tuning, and alignment<\/strong> of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents.<\/p><\/li>

• Evaluate cutting-edge ML algorithms<\/strong> through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement.<\/p><\/li>

• Contribute to publications and presentations<\/strong> at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems.<\/p><\/li> <\/ul>

<\/p>

Qualifications<\/h2>

Minimum Qualifications<\/strong><\/p>

• Completed Bachelors degree in Computer Science or a related field.<\/p><\/li>

• Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies. We welcome applications from candidates in all years of their PhD program, including those in the early stages. Degree completion date cannot be earlier than September 2026 - June 2027.<\/p><\/li>

• Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques.<\/p><\/li> <\/ul>

Compensation<\/strong><\/p>

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:<\/p>

Zone A: $55/hour<\/p>

This role may also be eligible for benefits, bonuses, commissions, and equity.<\/p>

Please visit

go.atlassian.com/payzones<\/u> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.<\/p>

Benefits and Perks<\/strong>Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit Atlassian Internships: Students and New Grads | Atlassian.<\/p>

About Atlassian <\/strong>At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.<\/p>

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.<\/p>

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.<\/p>

To learn more about our culture and hiring process, visit

go.atlassian.com/crh<\/u><\/strong>

.<\/strong><\/p>","directApply":true,"title":"PhD AI Research Intern, 2026 Summer Canada","@context":"http://schema.org","url":"https://campus-globalcareers-atlassian.icims.com/jobs/21814/phd-ai-research-intern%2c-2026-summer-canada/job","jobLocationType":"TELECOMMUTE","hiringOrganization":{"@type":"Organization","name":"Atlassian","sameAs":"https://www.atlassian.com/company/careers"},"jobLocation":[{"address":{"addressCountry":"CA","streetAddress":"UNAVAILABLE","@type":"PostalAddress","postalCode":"UNAVAILABLE","addressLocality":"UNAVAILABLE","addressRegion":"UNAVAILABLE","postOfficeBoxNumber":"UNAVAILABLE"},"@type":"Place"}],"datePosted":"2025-12-11T05:00:00.000Z","occupationalCategory":"Engineering"}

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PhD AI Research Intern, 2026 Summer Canada

Job Locations

CA

ID

REQ-2025-4280

Category

Engineering

Overview

Working at Atlassian

Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both.

As a distributed-first company, all interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at

go.atlassian.com/distributed

.

Your Future Org

Atlassian’s Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian!

Your Future Team

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Research Intern, where you'll have the opportunity to work on advanced machine learning (ML) and artificial intelligence (AI) technologies, particularly focusing on areas such as Large language models (LLMs), Generative AI, Conversational Agents, and AI Optimization. You’ll be part of a team that pioneers innovations to address complex real-world problems, developing state-of-the-art AI solutions that will ultimately drive impact for Enterprises.

As a PhD intern, you will gain hands-on experience in both foundational research and practical applications, contributing to the training, evaluation and optimized inferencing of AI models that could be used by millions of customers. You will collaborate closely with experienced researchers and engineers to push the boundaries of what’s possible with AI, while gaining invaluable insights into industrial research and development.

This internship is designed for individuals passionate about exploring new frontiers in AI and machine learning research. You’ll work in a stimulating environment with some of the brightest minds in the field, gaining exposure to both academic and applied research challenges. We are committed to providing a supportive and inclusive work environment where interns are empowered to contribute significantly to ongoing research that improves teamwork and collaboration in an Enterprise.

Responsibilities

Responsibilities

• Collaborate cross-functionally

with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products.

• Curate, preprocess, and manage large-scale datasets

for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments.

• Conduct continued training, fine-tuning, and alignment

of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents.

• Evaluate cutting-edge ML algorithms

through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement.

• Contribute to publications and presentations

at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems.

Qualifications

Minimum Qualifications

• Completed Bachelors degree in Computer Science or a related field.

• Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies. We welcome applications from candidates in all years of their PhD program, including those in the early stages. Degree completion date cannot be earlier than September 2026 - June 2027.

• Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $55/hour

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit

go.atlassian.com/payzones

for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Benefits and Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit

Atlassian Internships: Students and New Grads | Atlassian

.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit

go.atlassian.com/crh

.

Options



## Qualifications
* You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing
* You want to work on problems that will help change banking for good
* You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity
* You have the courage to share new ideas even when they are unproven
* You are deeply Technical
* You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss
* You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown
* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
* At least 6 years of experience programming with Python, Go, Scala, or Java
* AWS, Google Cloud, Azure, or equivalent private cloud)
* Experience designing, developing, integrating, delivering, and supporting complex AI systems
* Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
* Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
* Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
## Benefits
* Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked
* Cambridge, MA: $225,400 - $257,200 for Sr
* Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter
* This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
* Incentives could be discretionary or non discretionary depending on the plan
* Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
## Responsibilities
* Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
* Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
* Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
* Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems
* Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
* Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
* You adapt quickly and thrive on bringing clarity to big, undefined problems

## Full Description
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Overview:

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.

• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.

• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies

• At least 6 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

• Experience designing, developing, integrating, delivering, and supporting complex AI systems

• Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders

• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang

• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer

McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer

New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer

San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer

San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@ . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

