About the job
We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale — owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on.
Responsibilities
Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.
Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.
Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.
Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.
Research and implement novel machine learning and statistical approaches.
Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.
Qualifications
Minimum
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
3+ years of building machine learning models or developing algorithms for business application experience
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
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
Experience identifying opportunities to integrate AI solutions into products and services to drive business value.