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Applied Scientist, SPX AI Lab Job Opening In Seattle – Now Hiring Confidential


Job description

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business.

The SPX AI Lab team is building the AI capabilities powering the Selling Assistant, Amazon's conversational assistant experience for Selling Partners.

The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores.

It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs.

The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease.

It is powered by the latest advances in Generative AI, going beyond a typical chatbot to provide an intuitive, intelligent, and personalized experience to sellers running real businesses, large and small.

Do you want to join an innovative group of scientists, engineers, and product managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience?

Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities?

Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives?

If yes, then you may be a great fit to join the SPX AI Lab team.

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
SPX AI Lab is a growing team of scientists driving the research and development of the next generation of GenAI experiences that 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.

We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.

BASIC QUALIFICATIONS

- 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 QUALIFICATIONS

- 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
- Experience in developing Generative AI applications.

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.

Required Skill Profession

Computer Occupations


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Unlock Your Applied Scientist Potential: Insight & Career Growth Guide


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The average salary range for a varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Confidential interview tips for Applied Scientist, SPX AI Lab

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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