Job Description

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• Experience in developing machine learning pipelines, developing large language model or natural language understanding models

Job Overview

We're working to improve shopping on Amazon using the conversational capabilities of large language models (LLM), and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!

Key Job Responsibilities

In this role you will leverage your engineering background and expertise in machine learning to help develop generative AI for shopping. On a day-to-day basis, you will:

• Lead the design and implementation of a stable and efficient training infrastructure that scales to a large model size and hardware such as GPU.
• Collaborate with other talented applied scientists and engineers to develop an improved training infrastructure that accelerates innovation.
• Quickly learn cutting-edge technologies and algorithms in the field of Generative AI.

Work Locations

We are open to hiring candidates to work out of one of the following locations:

• Palo Alto, CA, USA
• Seattle, WA, USA

Education and Skills

• Master or PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing
• Experience with CUDA
• Experience with Pytorch or Tensorflow
• Experience with distributed training

Diversity and Inclusion

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.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/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.