SDE-II (Machine Learning) Full-time

Do you want to join an innovative team of engineers and scientists who use terabytes of data and create state-of-the-art algorithms to push the boundaries of AI? We are building the foundational behavioral model for Amazon Stores using LLM and Large Model training techniques that fuses general world knowledge with Amazon e-commerce domain knowledge. We are searching for engineers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.

So, if you’re passionate about pushing the limits of AI, thrive in a fast-paced and innovative environment, and are ready to make a lasting impact on the world, this is your chance! Join us on this revolutionizing adventure!

Key job responsibilities

– Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI and LLMs.

– Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.

– Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.

– Work closely with Applied scientists to process massive data, scale machine learning models while optimizing

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

San Diego, CA, USA | Seattle, WA, USA

BASIC QUALIFICATIONS

– 3+ years of non-internship professional software development experience

– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

– Experience programming with at least one software programming language

– Bachelor’s degree in computer science or equivalent

– Experience with ML framework, e.g., PyTorch, Spark MMLib, Tensorflow, developing machine learning models

– Experience with ML model training/inference optimization

PREFERRED QUALIFICATIONS

– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

– Experience with LLM training/inference optimization at algorithm level.

– Experience with LLM training/inference optimization at system level: KV cache optimization, Quantization, etc

– Experience with PyTorch ops, memory, communication, and/or data loading optimization at scale

– Masters degree or PhD in Computer Science or a related technical field

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.