This role is for a Senior Machine Learning Engineer in the Distributed Training team for AWS Neuron, focusing on the development, enablement, and performance tuning of various ML model families, including large-scale models like GPT and Llama. The team collaborates closely with chip architects and engineers to create distributed training solutions using AWS custom silicon. The environment promotes mentorship and knowledge-sharing, supporting career growth and technical expertise. Candidates are encouraged to apply even if they do not meet all qualifications, reflecting AWS's commitment to diverse experiences.

• Bachelor's degree in computer science or equivalent.
• 5+ years of non-internship professional software development experience.
• 5+ years of programming experience with at least one software programming language.
• 5+ years of experience leading design or architecture of new and existing systems.
• 5+ years of experience in the full software development life cycle.
• Experience as a mentor or tech lead.
• Experience in machine learning, data mining, or natural language processing.
• Master's degree in computer science or equivalent is preferred.
• Experience in computer architecture.
• Previous software engineering expertise with Pytorch, Jax, or Tensorflow.

• Lead efforts to build distributed training support into PyTorch and JAX using XLA.
• Optimize models to achieve peak performance on AWS custom silicon.
• Work effectively within cross-functional teams to create and tune distributed training solutions.
• Deep dive into technical challenges and provide solutions.
• Extend distributed training libraries for the Neuron-based system.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.