Applied Scientist, AWS Neuron Science team

Description The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state‑of‑the‑art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. Focus Areas AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization Machine Learning Compiler: Creating advanced compiler techniques for ML workloads System Robustness: Building tools for accuracy and reliability validation Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures About The Team AWS Neuron is the software that powers Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best‑in‑class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best‑in‑class ML training performance at the lowest training cost in the cloud, and it’s all enabled by AWS Neuron. Neuron is a software that includes an ML compiler and native integration into popular ML frameworks. Our products are used at scale with external customers such as Anthropic and Databricks, and with internal customers such as Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition, and many more. Basic Qualifications PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top‑tier peer‑reviewed conferences or journals Experience programming in Java, C++, Python or a related language Experience in one or more of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing Preferred Qualifications Experience building machine learning models or developing algorithms for business applications Experience in professional software development EEO Statement Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Location & Compensation USA, CA, Cupertino — $171,600.00 – $222,200.00 USD annually Company Annapurna Labs (U.S.) Inc. #J-18808-Ljbffr