Job ID: 2799065 | Amazon.com Services LLC
Amazon is the 4th most popular site in the US. Our product search engine is one of the most heavily used services in the world, indexing billions of products and serving hundreds of millions of customers worldwide. We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale, next-generation deep learning techniques. Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on immense scale datasets; specifically through the use of aggressive systems engineering and hardware accelerators. This is a rare opportunity to develop cutting-edge ML solutions and apply them to a problem of this magnitude. Some exciting questions that we expect to answer over the next few years include:
- Can we transfer the knowledge we learned from Amazon data to all Amazon business applications?
- How to accelerate model training and inference at super large scale?
- How to build the world-class large scale ML platform specially for deep learning models?
This is a unique opportunity to get in on the ground floor, shape and build the next generation of Amazon Search. We are looking for dedicated and forward-thinking machine learning engineers who are passionate about innovation, impact, and want to work on a team with an exciting startup culture!
Key job responsibilities
- Understand different business problems at Amazon such as Search, Ads, Recommendation, etc. Build machine learning models to push the boundary of Amazon business.
- Build the ML platform that handles model training, model management, continuous model release and deployment, specially for large scale deep learning models.
- Identify deep learning model training and inference bottlenecks and use innovative solutions to solve them.
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
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