Sr. Machine Learning

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 bestinclass ML inference performance at the lowest cost in cloud. Trainium will deliver the bestinclass ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cuttingedge 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.
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 custombuilt 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.
Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the groundup development and scaling of a compiler to handle the world's largest ML workloads. You will leverage your technical communications skill as a handson partner to AWS ML services teams and you will be involved in presilicon 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.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. 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. Amazons culture of inclusion is reinforced within our 16 Leadership Principles.
We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
We have a broad mix of experience levels and tenures, and were building an environment that celebrates knowledge sharing and mentorship.
5+ years of noninternship professional software development experience
~5+ years of programming with at least one software programming language experience
~5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
~ Bachelors degree in computer science or equivalent

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