Applied Scientist II, Brand Registry
Posted 1 day ago
Job Description
The Brand Registry team is seeking an Applied Scientist to tackle complex, high-impact problems that directly affect millions of brands, selling partners, and customers on Amazon. You will design, develop, and deploy AI solutions—leveraging large language models (LLMs) and agentic AI frameworks—to power intelligent automation that augments human decision-making and drives autonomous outcomes at scale.
What You'll Do
-Build agent-based AI systems that reason, plan, and act like domain experts progressing from decision-support tools to fully autonomous solutions
-Own the end-to-end ML lifecycle, from problem formulation and data analysis through experimentation, model development, and production deployment
-Work backwards from data insights and customer feedback to identify the highest-value science opportunities and translate them into scalable machine learning solutions
-Partner closely with product managers and engineering teams to define requirements, iterate rapidly, and launch solutions that deliver measurable business impact
-Collaborate with domain experts across Amazon to pioneer innovative approaches to unsolved problems in brand protection and seller experience
What We're Looking For
-Technical depth: Extensive hands-on experience in Machine Learning, with a strong focus on Generative AI and LLM-based applications (e.g., fine-tuning, prompt engineering, retrieval-augmented generation, multi-agent orchestration)
-End-to-end delivery: Proven track record of driving large-scale ML initiatives from conception through production launch in fast-paced, ambiguous environments
-Scientific rigor: Strong foundation in experimental design, statistical analysis, and the ability to translate research into production-grade systems
-Customer obsession: A bias toward working backwards from real-world problems and customer pain points rather than technology for its own sake
-Entrepreneurial mindset: Comfort with ambiguity, a bias for action, and the tenacity to break down complex problems into actionable solutions
-Communication skills: Ability to articulate technical concepts clearly to both technical and non-technical stakeholders
About the team
Brand Registry's mission is bold and unambiguous: protect 100% of the brands in the Amazon catalog. We are the team that stands between authentic brands and the forces that threaten their integrity — counterfeit products, catalog abuse, unauthorized sellers, and inaccurate brand representation. We do this by building the tools, systems, and experiences that empower brand owners to establish, protect, and grow their presence on Amazon with confidence.
Achieving this mission requires deep collaboration across science, engineering, legal, and selling partner experience teams — all working in concert to deliver a seamless, trustworthy brand ownership experience at global scale.
What You'll Do
-Build agent-based AI systems that reason, plan, and act like domain experts progressing from decision-support tools to fully autonomous solutions
-Own the end-to-end ML lifecycle, from problem formulation and data analysis through experimentation, model development, and production deployment
-Work backwards from data insights and customer feedback to identify the highest-value science opportunities and translate them into scalable machine learning solutions
-Partner closely with product managers and engineering teams to define requirements, iterate rapidly, and launch solutions that deliver measurable business impact
-Collaborate with domain experts across Amazon to pioneer innovative approaches to unsolved problems in brand protection and seller experience
What We're Looking For
-Technical depth: Extensive hands-on experience in Machine Learning, with a strong focus on Generative AI and LLM-based applications (e.g., fine-tuning, prompt engineering, retrieval-augmented generation, multi-agent orchestration)
-End-to-end delivery: Proven track record of driving large-scale ML initiatives from conception through production launch in fast-paced, ambiguous environments
-Scientific rigor: Strong foundation in experimental design, statistical analysis, and the ability to translate research into production-grade systems
-Customer obsession: A bias toward working backwards from real-world problems and customer pain points rather than technology for its own sake
-Entrepreneurial mindset: Comfort with ambiguity, a bias for action, and the tenacity to break down complex problems into actionable solutions
-Communication skills: Ability to articulate technical concepts clearly to both technical and non-technical stakeholders
About the team
Brand Registry's mission is bold and unambiguous: protect 100% of the brands in the Amazon catalog. We are the team that stands between authentic brands and the forces that threaten their integrity — counterfeit products, catalog abuse, unauthorized sellers, and inaccurate brand representation. We do this by building the tools, systems, and experiences that empower brand owners to establish, protect, and grow their presence on Amazon with confidence.
Achieving this mission requires deep collaboration across science, engineering, legal, and selling partner experience teams — all working in concert to deliver a seamless, trustworthy brand ownership experience at global scale.
Amazon
182 jobs posted
About the job
Posted on
May 4, 2026
Apply before
Jun 3, 2026
Job typeFull-time
Location
Skills
Similar Jobs
8d
Applied Scientist II
Amazon
US, MAApplied Scientist II
Amazon
US, MA8d14d
Staff Applied Scientist II
Visa
$163K - $260KBellevue, WAStaff Applied Scientist II
Visa
$163K - $260KBellevue, WA14d12d
Applied Scientist II, Alexa International
Amazon
IndiaApplied Scientist II, Alexa International
Amazon
India12d12d
Applied Scientist II, Reinforcement Learning
Amazon
US, MAApplied Scientist II, Reinforcement Learning
Amazon
US, MA12d6d
Applied Scientist II, RBS Tech
Amazon
IndiaApplied Scientist II, RBS Tech
Amazon
India6d6d
Applied Scientist II, RBS Tech
Amazon
IndiaApplied Scientist II, RBS Tech
Amazon
India6d22d
Applied Scientist II, Industrial Robotics Group
Amazon
US, MAApplied Scientist II, Industrial Robotics Group
Amazon
US, MA22d26d
Senior Applied Scientist
Adobe
$164K - $313KSeattle, WASenior Applied Scientist
Adobe
$164K - $313KSeattle, WA26d19d
Principal Applied Scientist
Amazon
US, WAPrincipal Applied Scientist
Amazon
US, WA19d18d
Senior Applied Scientist
Amazon
US, CASenior Applied Scientist
Amazon
US, CA18d
AI jobs in your inbox
Get the latest AI jobs delivered to your inbox every week. Free, no spam.