Applied Scientist II, Sponsored Products Global Optimization
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Global Optimization is a strategic initiative aimed at improving Amazon advertisers experience at global scale. We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon this role you will design agentic architectures develop tools and datasets and contribute to building systems that can reason plan and act autonomously across complex advertiser workflows at global scale. You will work at the forefront of applied AI developing methods for fine-tuning reinforcement learning and preference optimization while helping create evaluation frameworks that ensure safety reliability and trust at scale.
You will work backwards from the needs of advertisersdelivering customer-facing products that directly help them create optimize and grow their campaigns. Beyond building models you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration multi-step reasoning and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems collaborating closely with scientists engineers and product managers to bring innovative solutions into production.
Key job responsibilities
- Design and build agents that improve advertisers experiences globally
- Design and implement advanced model and agent optimization techniques including supervised fine-tuning instruction tuning and preference optimization (e.g. DPO/IPO).
- Design and implement optimization models that work at global scale taking into account nuances of multiple countries
- Innovate new science models to help advertisers scale their campaigns globally
- Curate datasets and tools for MCP.
- Build evaluation pipelines for agent workflows including automated benchmarks multi-step reasoning tests and safety guardrails.
- Develop agentic architectures (e.g. CoT ToT ReAct) that integrate planning tool use and long-horizon reasoning.
- Prototype and iterate on multi-agent orchestration frameworks and workflows.
- Collaborate with peers across engineering and product to bring scientific innovations into production.
- Stay current with the latest research in LLMs RL and agent-based AI optimization and translate findings into practical applications.
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
The Global Optimization team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns at global scale. At this scale the complexity of diverse advertiser goals campaign types and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazons retail ecosystem.
Our work is grounded in state-of-the-art agent architectures tool integration reasoning frameworks and model customization approaches (including tuning MCP and preference optimization) ensuring our systems are both scalable and adaptive.
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 3 years of building models for business application experience
- Experience programming in Java C Python or related language
- Experience in designing experiments and statistical analysis of results
- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with LLMs AI Agents MCPs Chain of Thought reasoning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
You will work backwards from the needs of advertisersdelivering customer-facing products that directly help them create optimize and grow their campaigns. Beyond building models you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration multi-step reasoning and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems collaborating closely with scientists engineers and product managers to bring innovative solutions into production.
Key job responsibilities
- Design and build agents that improve advertisers experiences globally
- Design and implement advanced model and agent optimization techniques including supervised fine-tuning instruction tuning and preference optimization (e.g. DPO/IPO).
- Design and implement optimization models that work at global scale taking into account nuances of multiple countries
- Innovate new science models to help advertisers scale their campaigns globally
- Curate datasets and tools for MCP.
- Build evaluation pipelines for agent workflows including automated benchmarks multi-step reasoning tests and safety guardrails.
- Develop agentic architectures (e.g. CoT ToT ReAct) that integrate planning tool use and long-horizon reasoning.
- Prototype and iterate on multi-agent orchestration frameworks and workflows.
- Collaborate with peers across engineering and product to bring scientific innovations into production.
- Stay current with the latest research in LLMs RL and agent-based AI optimization and translate findings into practical applications.
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
The Global Optimization team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns at global scale. At this scale the complexity of diverse advertiser goals campaign types and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazons retail ecosystem.
Our work is grounded in state-of-the-art agent architectures tool integration reasoning frameworks and model customization approaches (including tuning MCP and preference optimization) ensuring our systems are both scalable and adaptive.
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 3 years of building models for business application experience
- Experience programming in Java C Python or related language
- Experience in designing experiments and statistical analysis of results
- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with LLMs AI Agents MCPs Chain of Thought reasoning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
About Company
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