Applied Scientist, SPX AI Lab

Amazon; Seattle (WA); On-site; USD 136,000 - 224,000; Full time

Job summary

An established industry player is seeking a talented individual to join their innovative Selling Partner Experience Science team. This role focuses on utilizing cutting-edge Machine Learning and Generative AI technologies to create transformative solutions for sellers. You will collaborate with a dynamic team of scientists and engineers to develop and deploy advanced models that enhance the Selling Partner experience. If you are passionate about solving real business challenges through technology and want to contribute to a strategic initiative, this opportunity is perfect for you. Join a diverse and inclusive workplace that values innovation and excellence.

Benefits

Equity options

Sign-on bonuses

Comprehensive medical benefits

Financial benefits

Qualifications

• PhD or Master's degree with 4+ years in ML or related fields.
• 3+ years of experience building machine learning models.

Responsibilities

• Use ML and Generative AI to empower Amazon's Selling Partners.
• Design and deploy innovative models to interact with sellers.

Skills

Machine Learning

Generative AI

Java

C++

Python

Algorithms

Data Structures

Data Mining

Education

PhD in Computer Science

Master's degree in Computer Science

Tools

Statistical Approaches

High-Performance Computing

Job description

Job ID: 2920605 | Amazon.com Services LLC

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

1. 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.
2. Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.
3. Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.
4. Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.
5. Research and implement novel machine learning and statistical approaches.
6. Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.

BASIC QUALIFICATIONS

1. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
2. 3+ years of building machine learning models or developing algorithms for business application experience
3. Experience programming in Java, C++, Python or related language
4. 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

1. Experience in patents or publications at top-tier peer-reviewed conferences or journals
2. Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
3. Experience in developing 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.

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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 $223,400/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 this link.

This position will remain posted until filled. Applicants should apply via our internal or external career site.