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.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, ON, Toronto - 149,300.00 - 249,300.00 CAD annually