Sr. Machine Learning

The Product AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best‑in‑class ML inference performance at the lowest cost in cloud. Trainium will deliver the best‑in‑class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting‑edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom‑built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. About you As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground‑up development and scaling of a compiler to handle the world's largest ML workloads. You will architect and implement business‑critical features, publish cutting‑edge research, and mentor a brilliant team of experienced engineers. You will leverage your technical communications skill as a hands‑on partner to AWS ML services teams and you will be involved in pre‑silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Cupertino (preferred), Seattle, Austin, or Toronto. About the team culture Inclusive Team Culture: Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee‑led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles. Work/Life Balance: Our team puts a high value on work‑life balance. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. 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 5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications Bachelor’s degree in computer science or equivalent Legal and Compliance Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: The position includes duties such as working safely and cooperatively with other employees, supervisors, and staff; communicating effectively and respectfully to ensure exceptional customer service; and following all applicable laws and company policies. We will consider qualified applicants with arrest and conviction records in accordance with the Los Angeles County Fair Chance Ordinance. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations. Compensation The base pay for this position ranges from $151,300/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. Additional compensation may include equity, sign‑on payments, and other forms of compensation. 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. Important FAQs for current Government employees Before proceeding, please review the following FAQ at https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees. #J-18808-Ljbffr