Applied Scientist, Selling Partner Experience Science

DESCRIPTION

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At Amazon, we strive every day to be Earth's most customer centric company. Selling Partner Experience Science (SPeXSci) delivers on this by building AI-enhanced experiences, optimization, and automation that help third-party sellers build more successful businesses.

This includes recommendations that drive growth and AI-enhanced assistance for troubleshooting issues. There are many challenges that we confront caused by the volume, diversity, and complexity of our Selling Partners' needs, and we are always striving to do better.

Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning, natural language processing, and generative AI?

The SPeXSci Team is looking for an Applied Scientist to build Machine Learning and Generative AI solutions that help us create the next generation of the tools that empower Amazon's Selling Partners to succeed.

In this role, you will have ownership of the end-to-end development of solutions to complex problems and you will play an integral role in strategic decision-making.

You will also work closely with engineers, product owners, UX design, and operations teams to build AI-powered high-quality, trustworthy, and personalized Selling Partner experiences.

Key job 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.

About the team

Selling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers, and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed.

We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow.

Focused on collaboration, innovation, and strategic impact, we work closely with other science and technology teams, product and operations organizations, and with senior leadership, to transform the Selling Partner experience.

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 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 in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in building speech recognition, machine translation, and natural language processing systems (e.g., commercial speech products or government speech projects)
• Experience in building and evaluating Generative AI applications.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

For individuals with disabilities who would like to request an accommodation, please visit https : / / www.amazon.jobs / en / disability / us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000 / year in our lowest geographic market up to $222,200 / year in our highest geographic market.

Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Amazon is a total compensation company. 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.

For more information, please visit https : / / www.aboutamazon.com / workplace / employee-benefits. This position will remain posted until filled.

Applicants should apply via our internal or external career site.

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