Job ID: 2844974 | 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 LLM 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 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 training capability especially for deep learning models?This is a unique opportunity to get in on the ground floor, shape and build the next generation of Stores Foundational AI. 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 ResponsibilitiesUnderstand different business problems at Amazon such as Search, Ads, Recommendation, etc. Build machine learning models to push the boundary of Amazon business.Build world-class distributed training ML techniques.Identify deep learning model training and inference bottlenecks and use innovative solutions to solve them.BASIC QUALIFICATIONS3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability, and scaling) of new and existing systems experienceExperience programming with at least one software programming language2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search experiencePREFERRED QUALIFICATIONS3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor's degree in computer science or equivalentAmazon 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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.
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, 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 $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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: September 20, 2024 (Updated about 1 hour ago)
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