
## Full Description
Join our AI Talent Community to shape the future of Workplace AI, Physical AI, and Applied Intelligence.

We're building a platform where top talent can connect with us today for roles in AI, Data, and Applied Intelligence. By joining our community, you'll gain early visibility into upcoming opportunities, stay connected with our team, and position yourself at the front of the line when we start hiring.

Why Join?

• Be among the first to know when we open roles in AI, Data, and Applied Intelligence.

• Gain insights into our future AI roadmap and opportunities.

• Stay connected with our recruiters and hiring managers.

• Avoid the limitations of traditional outreach and get considered proactively.

Future Roles

We're hiring for both Generalist and Specialist positions across our AI divisions:

Work AI (AI Agents & Integrations)

• Generalist Software Engineer (2-4 years experience)

• Specialist Software Engineer (4-6+ years experience)

Physical AI (Computer Vision & Real-World AI Systems)

• Generalist CV & Software Engineer (2-4 years experience)

• Specialist CV & Software Engineer (5+ years experience)

Research & Knowledge Transfer

• PhD Expert (Research Leadership, Publications, Global Collaborations)

• STEM Teacher (AI/STEM Curriculum & Training Talent Pipelines)

Data & AI Infrastructure

• Data Engineer (3+ years experience, scalable pipelines)

• Data Scientist (2-4 years experience, model prototyping & insights)

• Data Ops Specialist (1-3 years experience, dataset QA & labeling workflows)

Applied AI & Engineering

• Machine Learning Engineer (3-5 years experience, model training & deployment)

• Applied Intelligence Engineer (5-7 years experience, client-facing AI delivery)

• AI Engineer (3-5 years experience, enterprise integrations & APIs)

What We Look For

• Strong technical foundations (Python, C++, or modern compiled languages).

• Experience with AI frameworks (PyTorch, TensorFlow, LangChain, Hugging Face, OpenCV, etc.).

• Curiosity, problem-solving mindset, and passion for building next-generation AI solutions.

• Mix of academic rigor, industry experience, and applied project work.



## Qualifications
* 3+ years of software development experience, including programming with modern compiled languages such as Go, Rust, Java, or C++
* Proven ability to design and scale fault-tolerant distributed systems and develop managed cloud services
* Strong fundamentals in data structures, algorithms, microservices, and infrastructure tools like Docker, Kubernetes, Terraform, and CI/CD systems
* Ability to work with cross-functional teams to align priorities and deliver customer-first solutions
* Experience guiding engineers, improving hiring and onboarding processes, and driving team growth
* Exceptional ability to articulate complex ideas and align technical solutions with customer needs
* A passion for creating intuitive, high-quality solutions that directly impact customer success and satisfaction
* Referrals increase your chances of interviewing at Jobright.ai by 2x
* Full-Stack Software Engineer (Jr/Mid level)
* Software Development Engineer I - Frontend & Mobile
* San Francisco, CA $150,000.00-$176,000.00 3 months ago
* San Francisco, CA $160,000.00-$200,000.00 2 months ago
* San Francisco, CA $165,000.00-$165,000.00 2 years ago
## Benefits
* Medical insurance
* Vision insurance
* 401(k)
## Responsibilities
* Design, develop, and maintain scalable and reliable services that power our cloud control plane, managing Crusoe's virtualized resources
* Collaborate with cross-functional teams, to evaluate tools, frameworks, and customer needs, creating innovative solutions that differentiate Crusoe Cloud
* Design and build backend systems that underpin our cloud platform
* Contribute to architectural decisions that support reliability and maintainability across the company
* Mentor engineers, enhance hiring practices, and contribute to building a strong, inclusive engineering culture
* Build scalable, reliable microservices to manage the lifecycles of our virtualized resources and provide the tooling our product teams need
* Implement features that differentiate Crusoe Cloud, focusing on operational efficiency, reliability, and scalability
* Work closely with cloud support, engineering, and site reliability teams to align technical solutions with customer feedback and operational goals
* Guide engineers through design discussions, code reviews, and best practices, fostering a culture of technical excellence and customer-centricity

## Full Description
Backend Software Engineer, Cloud Control Plane, Mid Level

Join to apply for the Backend Software Engineer, Cloud Control Plane, Mid Level role at Jobright.ai

Backend Software Engineer, Cloud Control Plane, Mid Level

3 days ago Be among the first 25 applicants

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Job Summary:

Crusoe is building the Worlds Favorite AI-first Cloud infrastructure company, seeking talented Software Engineers to design, build, and scale Crusoe Clouds control plane services. The role focuses on delivering highly scalable and reliable services for compute, network, and storage while collaborating with cross-functional teams and mentoring other engineers.

Responsibilities:

Design, develop, and maintain scalable and reliable services that power our cloud control plane, managing Crusoe's virtualized resources.

Collaborate with cross-functional teams, to evaluate tools, frameworks, and customer needs, creating innovative solutions that differentiate Crusoe Cloud.

Design and build backend systems that underpin our cloud platform.

Contribute to architectural decisions that support reliability and maintainability across the company.

Mentor engineers, enhance hiring practices, and contribute to building a strong, inclusive engineering culture.

Build scalable, reliable microservices to manage the lifecycles of our virtualized resources and provide the tooling our product teams need.

Implement features that differentiate Crusoe Cloud, focusing on operational efficiency, reliability, and scalability.

Work closely with cloud support, engineering, and site reliability teams to align technical solutions with customer feedback and operational goals.

Guide engineers through design discussions, code reviews, and best practices, fostering a culture of technical excellence and customer-centricity.

Qualifications:

Required:

3+ years of software development experience, including programming with modern compiled languages such as Go, Rust, Java, or C++.

Proven ability to design and scale fault-tolerant distributed systems and develop managed cloud services.

Strong fundamentals in data structures, algorithms, microservices, and infrastructure tools like Docker, Kubernetes, Terraform, and CI/CD systems.

Ability to work with cross-functional teams to align priorities and deliver customer-first solutions.

Experience guiding engineers, improving hiring and onboarding processes, and driving team growth.

Exceptional ability to articulate complex ideas and align technical solutions with customer needs.

Preferred:

A passion for creating intuitive, high-quality solutions that directly impact customer success and satisfaction.

Any experience building out infrastructure tooling is a plus.

Company:

Crusoe is the industrys first vertically integrated, purpose-built AI cloud platform. Founded in 2018, headquartered in Denver, Colorado, USA, team size employees, currently Late Stage. Crusoe has a track record of offering H1B sponsorships.

Seniority level

• Seniority level

Mid-Senior level

Employment type

• Employment type

Full-time

Job function

• Industries

Software Development

Referrals increase your chances of interviewing at Jobright.ai by 2x

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Medical insurance

Vision insurance

401(k)

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## Full Description
AIMVIZ (Pvt) Ltd is a forward-thinking technology company specializing in AI-driven automation, digital transformation, and intelligent workflows for businesses worldwide.

About the Role:

Do you love building AI-powered automations that transform how businesses operate?

Join AIMVIZ (Pvt) Ltd, where innovation meets execution.

Key Responsibilities:

• Develop and deploy custom automation workflows using APIs, AI models, and backend integrations.

• Build data pipelines involving web scraping, deduplication, and scoring logic.

• Integrate LLMs (e.g., OpenAI, Synthflow, etc.) with business tools like CRMs and data sources.

• Design efficient AI-driven workflows for client projects and internal systems.

• Collaborate with cross-functional teams to deliver automation solutions that enhance productivity and performance.

Requirements

• 2+ years of experience in backend development or AI workflow automation.

• Strong command of Python and API integrations.

• Hands-on experience with LLMs, AI APIs, and automation tools.

• Familiarity with data pipelines, web scraping, and API-based data distribution.

• Strong problem-solving skills and the ability to work independently.

What We Offer

• Competitive, project-based compensation.

• Opportunity to work on custom AI solutions beyond off-the-shelf tools.

• A remote, high-tech work environment with growth-focused global clients.

Job Type: Full-time

Pay: Rs50,000.00 - Rs100,000.00 per month

Work Location: Remote




## Full Description
Company Description

DopeApps is a leading mobile app development company specializing in innovative solutions for cannabis dispensaries and brands. Our user-centric approach ensures the creation of high-performance mobile apps that captivate and deliver tangible results. By offering seamless user experiences, strategic push notifications, and streamlined checkout processes, DopeApps empowers cannabis retailers to excel in the digital space. Our mission is to transform the mobile shopping experience for cannabis retailers, guided by a leadership team with deep industry insight and expertise.

Role Description

This is a full-time remote role for a Frontend Engineer focused on AI-Enhanced Applications using React and TypeScript, although there will be some time required in person. The Frontend Engineer will be responsible for developing and maintaining high-quality web applications with a strong emphasis on responsive designs. You will collaborate with cross-functional teams to translate user requirements into robust and efficient front-end code, ensuring optimal performance and user experience. Other key tasks include debugging and improving current applications, implementing user interfaces, and staying up-to-date with emerging technologies.

Key Responsibilities

• Build and maintain frontend applications using React.

• Design composable, reusable, and testable hooks and components to ensure scalability and maintainability.

• Work with TypeScript across the codebase for type safety and reliability.

• Integrate and consume GraphQL APIs in concert with TypeScript.

• Write clear documentation and provide strong written and verbal communication to explain software architecture, data flows, and implementation details.

• Collaborate in sprint workflows and agile development cycles.

• Implement LLM-based features and generative AI capabilities as a key part of the platform.

Requirements

• 3+ years of experience with React in production environments.

• 3+ years of experience with TypeScript, including typing complex data structures.

• Proven ability to design and implement reusable hooks and components.

• Strong written and verbal communication skills.

• Hands-on experience using GraphQL APIs with TypeScript.

• Familiarity with LLMs and generative AI, with an eagerness to apply these technologies extensively.

• Familiarity with Git and collaborative workflows.

Nice to Have

• Experience with backend technologies such as Node.js, Express, and MongoDB.

• Knowledge of AWS services, Docker, or Kubernetes.

• Experience with CI/CD pipelines.

• Familiarity with multi-tenant application platforms.




## Full Description
The Lead, Data Science and AI is responsible for providing strategic and technical leadership to the Data Science and AI team. The role oversees the end-to-end development and deployment of machine learning and artificial intelligence models to solve complex business problems and drive data-informed decision-making.

Job Details

• Provide technical leadership to the Data Science and AI team, mentoring team members and fostering continuous learning.

• Supervise data scientists, assign tasks, review deliverables, and conduct performance appraisals.

• Drive end-to-end development and deployment of ML models, ensuring alignment with business objectives.

• Oversee data collection, cleaning, and preprocessing of structured and unstructured data for advanced analytics.

• Lead the design and implementation of feature engineering pipelines to enhance model performance.

• Manage the development of ML and AI models, including regression, classification, clustering, and deep learning, while ensuring scalability and accuracy.

• Conduct advanced hyperparameter tuning, cross-validation, and model optimization techniques.

• Collaborate with cross-functional teams to integrate ML solutions into production systems, ensuring seamless deployment and maintenance.

• Manage the lifecycle of ML models, including versioning, retraining, and monitoring for performance.

• Guide the team in adapting and fine-tuning large language models LLMs for domain specific use cases e.g., chatbots, sentiment analysis, summarization.

• Optimize ML/AI workloads using Azure Machine Learning AML and Azure AI services for cost and performance efficiency.

• Implement and manage CI/CD pipelines for ML systems using Azure DevOps or other automation tools.

• Act as a key liaison between data science, engineering, and business teams to prioritize high impact projects.

• Develop strategies to address domain-specific challenges such as fraud detection, credit scoring, and personalized customer recommendations.

• Translate complex business problems into technical deliverables and ensure timely project delivery

Requirements

PROFESSIONAL COMPETENCIES

• Proven expertise in AI/ML techniques, including traditional models regression, classification, clustering and advanced models ensemble methods, neural networks, reinforcement learning.

• Hands-on experience in feature engineering, ETL processes, and managing large-scale data pipelines.

• Proficiency in cloud-based ML platforms, particularly Azure Machine Learning, Azure Data Lake, and Azure Kubernetes Service AKS.

• Strong knowledge of tools like MLFlow for model tracking, versioning, and lifecycle management.

• Ability to interpret and present technical insights to non-technical stakeholders, driving data informed decisions.

• Deep understanding of domain-specific challenges and trends in banking e.g., churn prediction, customer segmentation, fraud detection.

• Advanced programming skills in Python preferred, R, or Scala, and familiarity with frameworks like Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.

• Experience with visualization tools Matplotlib, Seaborn and databases SQL, NoSQL, Azure Cosmos DB.

• Oversee all existing production models.

• Expertise in leading technical teams, fostering innovation, and driving impactful data science projects.

QUALIFICATION AND SKILLS

• Below are qualifications and skills required to work as a Data Scientist Qualifications include:

• Bachelor’s degree in Engineering, Mathematics, Statistics, Computer Science, or related fields. Master’s degree in Data Science, AI, or a related field is a plus.

• Certifications in AI/ML or cloud platforms e.g., Azure, AWS, GCP are advantageous. Skills Programming: Proficiency in Python, R, or Scala. Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers. DevOps:

• Experience with Git, Azure DevOps, or Jenkins.

• Cloud Platforms: Expertise in Azure AI/AML services and AWS, GCP etc Generative AI LLMsOpen AI, Gemini, Deepseek, etc ,LangChain, Hugging Face Transformers, Prompt Engineering, Vector Databases FAISS, Pinecone, Retrieval-Augmented Generation RAG, and Azure OpenAI. Education:

• Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathematics, or related field. 3+ years of professional experience in data science, analytics, or applied AI preferably in banking or fintech.

• Proven track record of developing and deploying machine learning models at scale. Solid understanding of financial services data customer, credit, digital, and marketing analytics. Experience leading a technical team and managing multiple concurrent projects.




## Full Description
About the role:

In this role you will be building modern AI systems for retail applications, ranging from Chatbots to Image Generation pipelines.

We’re looking for a fast-paced generalist with deep interest in AI to join our team of like minded individuals.

Join us to shape the future of retail in the Nordics.

Key responsibilities

• AI Services: Build, deploy, maintain, monitor and optimize AIservices such as chatbots, RAG pipelines, image generation pipelines, MCP servers, and Agentic pipelines.

• Deployment: Develop backend API services in Python. Key skills: CI/CD, FastAPI and Authentication methods

• Data: Prepare and transform data needed for AI systems - such as for embeddings and fine-tuning data - using Pandas/SQL/PySpark

• Demos: Build simple demos of AI Applications with front end interfaces

• Monitoring: Monitor and optimize existing AI systems to ensure high performance and reliability

• Collaboration: Collaborate with relevant teams such as Data Engineering, Product, Security, Legal teams

• Innovation: Stay updated with the latest AI/ML advancements to incorporate new techniques and technologies into our platform.

• Documentation: Create and maintain detailed documentation for AI systems

Requirements:

• Education: Bachelor’s degree or higher in Computer Science

• AI Services: 1+ years work experience building and operating AI-driven services in production environments

• Deployment: 2+ years work experience in Python backend development: FastAPI, CI/CD and authentication/authorization patterns

• Data: 1+ years work experience using PySpark, Pandas or SQL

• Deep AI Interest: Strong understanding of AI and Machine Learning AI algorithms.

• Cloud: Proficiency with cloud services such as Azure.

• Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams.

What's in it for you

• Competitive salary

• Employees' Provident Fund, medical and other incentives

• Unique working environment where you communicate and work directly with international clients

• Self-development opportunities




## Full Description
Shape the Future of Banking with AI at Banque Misr!

Banque Misr is transforming into an AI-led bank, revolutionizing how we serve our customers and drive the future of finance.

We leverage our rich heritage and expertise to build a data-driven powerhouse that anticipates customer needs, personalizes experiences, and optimizes operations.

We're not just talking about AI; we're deploying it, and we're seeing tangible results that touch the lives of every Egyptian.

Join our agile, hybrid team and be at the forefront of this exciting transformation!

About the Role: We're looking for a highly experienced and strategic Lead MLOps Engineer to lead our growing MLOPs Practice.

You will be a technical leader responsible for defining and implementing the MLOps strategy, building and maintaining robust machine learning pipelines, and ensuring the smooth and efficient deployment of AI models into production.

Our commitment to agility, human-centricity, social inclusion, and digital transformation guides our strategic vision.

Responsibilities: Define and implement the technical MLOps strategy and roadmap for the bank.

Serve as a technical leader and mentor for MLOps engineers.

Design, build, and maintain scalable and reliable machine learning & CI/CD pipelines.

Ensure the efficient deployment, monitoring & Governance of AI models in production.

Collaborate with data scientists and engineers to optimize model performance and deployment.

Establish and enforce best practices for MLOps, including version control, model governance, and monitoring.

Evaluate and implement new MLOps tools and technologies.

Required Skills: +8 years of relevant experience in Data Science or a related field 2 years of them in the MLOps field Extensive experience in designing and implementing MLOps strategies and pipelines.

Deep expertise in on-prem platforms and containerization technologies (e.

g., Docker, Kubernetes).

Strong proficiency in programming languages like Python and scripting languages.

Experience with CI/CD & MLOps tools as well as different ML frameworks.

Strong understanding of data engineering and software development principles.

Excellent communication and technical documentation skills.

Ability to work effectively in a complex and dynamic environment.

Desirable Skills: Experience with feature stores and model registries.

Knowledge of data governance and compliance requirements.

Experience with different data platforms (Cloudera, Teradata, etc.

.). Apply now and help us build the future of banking!

We aim to deliver unparalleled products and services through innovation in AI.




## Full Description
For better engagement, updates, and valuable consultation tips, we encourage you to follow our founder on Instagram: 📷@marketingbybahaa.

(https://www.

instagram.com/marketingbybahaa?

igsh=Y2Rnbjk3d3dnZXk=) GLOBAL PACIFIC SUPPORT is on the lookout for a dynamic Search Engine Optimization (SEO) Specialist to elevate our digital presence.

In this role, you will be responsible for optimizing our website and content to enhance search engine rankings and drive organic traffic.

Collaborating with cross-functional teams, you will implement innovative SEO strategies that align with our business goals and meet the needs of our audience.

Your expertise will be essential in conducting keyword research, optimizing existing content, and developing original content that resonates with our target market.

Additionally, you will analyze performance metrics, stay abreast of industry trends and best practices, and make data-driven recommendations to improve our online visibility.

Join us in making a significant impact in the digital landscape and help increase our reach and success!

100% remote job working in the comforts of your home Non-toxic environment Growth potential Proven experience as an SEO Specialist or in a similar role.

Deep understanding of search engine algorithms and ranking factors.

Proficient with SEO tools such as Google Analytics, SEMrush, and Moz.

Familiarity with HTML, CSS, and content management systems.

Strong analytical abilities with excellent attention to detail.

Exceptional communication and teamwork skills.

Ability to stay updated on industry trends and algorithm changes.

Bachelor's degree in Marketing, Digital Marketing, Information Technology, Computer Science, or relevant field.




## Full Description
We’re looking for an AI Platform Product Manager to help shape the future of digital trust solutions.

You’ll turn customer needs and market insights into impactful product features, working on APIs, AI-powered workflows, integrations, and world-class UX/UI across web and mobile.

What You’ll Do Collect and prioritize feature requests from customers, sales, and market insights.

Conduct research on API platforms, AI capabilities (LLMs, RAG, vector search), and trust-tech UX patterns .

Write detailed user stories and acceptance criteria for REST/GraphQL APIs, webhooks, SDKs, and AI features .

Partner with tech leads to manage backlog, roadmap, and feature prioritization.

Lead testing (dogfooding, UX/UI validation) and analyze feature performance with tools like Mixpanel .

Maintain clear product documentation and support cross-team collaboration on launches.

What We’re Looking For 3+ years in product management within a B2B SaaS environment .

Proven experience shipping API-first or platform products ; familiarity with OpenAPI/Swagger.

Understanding of AI technologies (LLMs, prompts, evaluation frameworks).

Strong UX/UI sensibility with tools like Figma or Miro .

Experience with Agile, Jira, Confluence .

Excellent organizational, analytical, and communication skills.

Fluent in English & Arabic .

Technical background is a plus; ability to collaborate fluently with engineers is essential.

What You’ll Get Competitive salary & benefits.

High autonomy, ownership, and growth opportunities.

A collaborative, transparent, and fun culture.

A chance to make a big impact in a fast-growing environment.




## Full Description
Description :

Grade Level: Contractual (12 Months)

Location: Islamabad

Last date to apply: 03-Nov-25

What is Specialist Products & Solutions (AI)?

We are looking for a Specialist Products & Solutions (AI) to join our high-performing team. This is primarily a technical role where you will work hands-on with Large Language Models (LLMs), MLOps pipelines, and modern web technologies to design, build, and support AI-driven solutions.

You will play a critical role in coding, maintaining, and scaling intelligent products that power digital transformation for millions of customers. As part of a collaborative environment, you’ll get the opportunity to experiment with cutting-edge AI frameworks while ensuring robust, reliable, and production-ready solutions.

What You’ll Do

• Develop, deploy, and maintain AI-powered applications and solutions

• Build and optimize LLM-based systems (fine-tuning, RAG pipelines, prompt engineering, etc.)

• Contribute to end-to-end ML Ops workflows, including model training, monitoring, and deployment

• Write efficient, clean, and scalable code using Python, React, and modern frameworks

• Build and maintain APIs and microservices for AI-enabled products

• Collaborate with cross-functional teams to integrate AI solutions into business-critical platforms

• Provide technical support and troubleshooting for deployed solutions

• Continuously research and apply new AI tools, frameworks, and methodologies

Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.

Requirements

What are we looking for and what does it require to be Specialist Products & Solutions (AI)?

• 0-2 years of experience in software development or applied AI/ML

• Bachelor’s degree in computer science, AI, Data Science, or a related field

• Strong foundation in Python (Pandas, NumPy, FastAPI, Flask, etc.)

• Experience with React.js or similar modern front-end frameworks

• Hands-on exposure to LLMs (OpenAI, LLaMA, Mistral, etc.)

• Understanding of MLOps workflows (Docker, Kubernetes, CI/CD, MLflow, etc.)

• Familiarity with SQL/NoSQL databases and API development

• Git-based version control and collaborative development

Soft Skills

• Problem-solver with a can-do attitude

• Fast learner who thrives in a rapidly evolving tech space

• Strong ownership of projects and deliverables

• Effective communicator and team player

Benefits

Why Join Jazz?

As one of the leading employers in the country, Jazz epitomizes the philosophy that each Jazz employee is passionately living a better every day inspired and enabled by visionary leadership, a unique professional culture, a flourishing lifestyle, and continuous learning and development.

Our core values include qualities essential for a positive organizational culture - truthfully guiding entrepreneurial and innovative mindsets, harnessing professional and interpersonal collaboration, and fostering across-the-board customer-obsession.

As one of the largest private sector organizations in Pakistan, our objective is to continue to change the lives of our 70+ million customers for the better. This is an opportunity for someone who wants to be part of something transformative, someone who can play a critical role in driving our success. Together, we can empower millions more with the tools necessary to progress in an increasingly digital economy.



## Qualifications
* 4+ years of industry experience using machine learning to solve real-world problems, ideally in Ads, Search, Recommendations, or a related large-scale production domain
* Demonstrated ownership of the full ML lifecycle: from scoping and design through training, deployment, A/B testing, and iteration
* Strong programming skills
* An excitement and willingness to learn new tools and techniques
* Experience with relational databases and SQL
* The ability to contribute to team strategy and to lead model development without supervision
* Strong communication skills and the ability to work with others in a closely collaborative team environment
* Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
* Ability to quickly implement state of the art algorithms from an academic paper
* We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand
## Benefits
* San Francisco & New York: the pay range for this role is $192,000 to $264,000 per year
* This role will also be eligible for equity and benefits
* Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location
* We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs
## Responsibilities
* You’ll work closely with engineers, product managers, and designers to launch and iterate on systems that are not just technically sophisticated, but also directly drive improvements to the bottom line for both brands and Faire
* Own the end-to-end development of ML models across the ads stack—from problem framing, solution design, modeling, and implementation to deployment, experimentation, and impact measurement
* Build best-in-class models in areas such as ads retrieval, ranking, auction optimization, bidding, and pacing—drawing from techniques in search/recommendation systems and marketplace optimization
* As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire should be—not just how they’re built
* Work in a fast-paced, collaborative environment with team members who’ve shipped ML at top tech companies (e.g
* Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday)
* Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year
* Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting

## Full Description
About Faire

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role

The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you’ll shape the future of our ads system at Faire—from retrieval and ranking to auction design and bidding strategy. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands.

This is a rare opportunity to be an early contributor to a fast-growing team in an incredibly strategic area of the business. Ads is a major company priority and you'll have a massive impact in shaping the platform that connects independent retailers and brands. You’ll work closely with engineers, product managers, and designers to launch and iterate on systems that are not just technically sophisticated, but also directly drive improvements to the bottom line for both brands and Faire.

What you’ll do

• Own the end-to-end development of ML models across the ads stack—from problem framing, solution design, modeling, and implementation to deployment, experimentation, and impact measurement

• Build best-in-class models in areas such as ads retrieval, ranking, auction optimization, bidding, and pacing—drawing from techniques in search/recommendation systems and marketplace optimization

• As an early member of the Ads Data team, help define its roadmap and technical culture, leveraging deep product intuition to shape what ads at Faire should be—not just how they’re built

• Work in a fast-paced, collaborative environment with team members who’ve shipped ML at top tech companies (e.g. Uber, Airbnb, Meta, Amazon, Pinterest)

Qualifications

• 4+ years of industry experience using machine learning to solve real-world problems, ideally in Ads, Search, Recommendations, or a related large-scale production domain

• Demonstrated ownership of the full ML lifecycle: from scoping and design through training, deployment, A/B testing, and iteration

• Strong programming skills

• An excitement and willingness to learn new tools and techniques

• Experience with relational databases and SQL

• The ability to contribute to team strategy and to lead model development without supervision

• Strong communication skills and the ability to work with others in a closely collaborative team environment

Great to Haves

• Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields

• Ability to quickly implement state of the art algorithms from an academic paper

Salary Range

San Francisco & New York: the pay range for this role is $192,000 to $264,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Applications for this position will be accepted for a minimum of 30 days from the posting date.

Why you’ll love working at Faire

• We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.

• We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.

• We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.

• We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

