Posted on 2025/09/03
Machine Learning Research Scientist - Medical Science
Amazon Locker
San Diego, CA
Qualifications
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PhD in Computer Science, Statistics or related field
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8+ years of applied AI/ML experience in deploying ML solutions to customer facing products
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2+ years hands-on experience leading multiple ML teams to design products that satisfy a customer need
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Track record of delivering large-scale and high-quality ML solutions
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Experience in taking on & using ML to deliver on business goals
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Experience in shipping GenAI/LLM models
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Experience partnering with engineering teams to ensure AI/ML solutions meet latency requirements
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Experience in influencing product strategy through product innovation and research
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Evidence of producing internal or external publications that motivate new lines of research
Benefits
- Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits
Responsibilities
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As a Principal Applied Scientist, you will lead the charge in creating the next generation of self-operating, GenAI-driven advertising systems that will set a new standard for the industry
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This autonomous, context-aware approach represents a paradigm shift in how advertising campaigns are conceived, executed, and optimized
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As a Principal Applied Scientist, you will be at the forefront of this transformation, tackling complex challenges in natural language processing, reinforcement learning, and causal inference
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Work with our engineering partners and draw upon your experience to meet latency and other system constraints
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Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver
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Be responsible for communicating our Generative AI/ Traditional AI/ML innovations to the broader internal & external scientific community
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Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position
Full Description
Principal Applied Scientist, Autonomous AI, Sponsored Products Ads Job ID: 2918382 | Amazon.
Amazon Sponsored Products is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of GenAI/LLM powered self-service performance advertising products that drive discovery and sales.
This role will be pivotal within the Autonomous Campaigns org of Sponsored Products Ads, where we're pioneering the development of AI-powered advertising innovations that will redefine the future of campaign management and optimization.
As a Principal Applied Scientist, you will lead the charge in creating the next generation of self-operating, GenAI-driven advertising systems that will set a new standard for the industry.
Our team is at the forefront of designing and implementing these transformative technologies, which will leverage advanced Large Language Models (LLMs) and sophisticated chain-of-thought reasoning to achieve true advertising autonomy.
By harnessing the power of these future-state GenAI systems, we will develop advertising solutions capable of autonomously selecting optimal keywords, dynamically adjusting bids based on complex market conditions, and optimizing product targeting across various Amazon platforms.
Crucially, these systems will continuously analyze performance metrics and implement strategic pivots, all without requiring manual intervention from advertisers, allowing them to focus on their core business while our AI works tirelessly on their behalf.
This autonomous, context-aware approach represents a paradigm shift in how advertising campaigns are conceived, executed, and optimized.
As a Principal Applied Scientist, you will be at the forefront of this transformation, tackling complex challenges in natural language processing, reinforcement learning, and causal inference.
This is an unparalleled opportunity to push the boundaries of what's achievable in AI-driven advertising and leave an indelible mark on the industry.
Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using GenAI, LLM, and ML solutions.
Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in AI/ML.
Design and lead organization-wide AI/ML roadmaps to help our Amazon shoppers have a delightful shopping experience while creating long term value for our advertisers.
Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver.
Be responsible for communicating our Generative AI/ Traditional AI/ML innovations to the broader internal & external scientific community.
PhD in Computer Science, Statistics or related field.
8+ years of applied AI/ML experience in deploying ML solutions to customer facing products.
2+ years hands-on experience leading multiple ML teams to design products that satisfy a customer need.
Track record of delivering large-scale and high-quality ML solutions.
Experience in taking on & using ML to deliver on business goals.
Experience in shipping GenAI/LLM models.
Experience partnering with engineering teams to ensure AI/ML solutions meet latency requirements.
Experience in influencing product strategy through product innovation and research.
Evidence of producing internal or external publications that motivate new lines of research.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companys reputation.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Applicants should apply via our internal or external career site. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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