Applied Scientist, SPX AI Lab

Amazon; Seattle (WA); Sur place; USD 142 800 - 193 200; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) matching

Paid time off

Parental leave

Résumé du poste

A leading technology company is seeking an experienced professional to join their Selling Partner Experience Science team in Seattle. This role focuses on developing innovative, AI-based tools to improve the Selling Partner experience on the platform. Candidates should have a strong background in machine learning, programming skills in Java/C++, and experience in building business applications. The position offers competitive salary and comprehensive benefits, making it an excellent opportunity for those passionate about technology and innovation.

Qualifications

• PhD or Master's degree with 4+ years related experience.
• 3+ years of building algorithms for business applications.
• Experience programming in Java, C++, Python, or similar.
• Familiarity with distributed computing and data mining.

Responsabilités

• Use state-of-the-art Machine Learning and Generative AI techniques.
• Design, develop, and deploy innovative models for Sellers.
• Collaborate with scientists to implement real-time models.
• Establish automated processes for data analyses and validation.
• Research novel machine learning approaches to solve challenges.

Connaissances

Building machine learning models

Programming languages (Java, C++, Python)

Algorithms and data structures

Numerical optimization

Formation

PhD or Master’s degree in CS, CE, ML or related field

Description du poste

Description

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. 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 state‑of‑the‑art Generative AI, going beyond a typical chatbot to provide a personalized experience to sellers running real businesses, large and small.

Do you want to join an innovative team of scientists, engineers, product and program managers who use the latest 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 Selling Partner Experience Science 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

Selling Partner Experience Science 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. We are focused on building seller‑facing AI‑powered tools using the latest science advancements to empower sellers to drive the growth of their business. 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
• 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.

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. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually