Applied Scientist, SPX AI Lab

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

Job summary

Join a dynamic team dedicated to enhancing the Selling Partner experience through cutting-edge Generative AI and Machine Learning. This role offers the chance to innovate and build solutions that address real business challenges, making a significant impact on how partners succeed in a competitive marketplace. Collaborate with top-tier scientists and engineers in a fast-paced environment, where your contributions will directly shape the future of selling on a leading e-commerce platform. If you're passionate about technology and eager to drive change, this opportunity is perfect for you.

Qualifications

• PhD or Master's with 4+ years in CS, CE, ML, or related field.
• 3+ years building ML models or algorithms for business.

Responsibilities

• Create next-gen tools using ML and Generative AI for Selling Partners.
• Establish automated processes for data analyses and model implementation.

Skills

Machine Learning

Generative AI

Java

C++

Python

Algorithms and Data Structures

Data Mining

Numerical Optimization

Education

PhD in Computer Science

Master's degree in Computer Science

Job description

Job ID: 2910010 | 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 cutting edge of Generative AI, going beyond a typical chatbot to provide a powerful, 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 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 Selling Partner Experience Science team (SPeXSci).

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 here for more information.

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 here.

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