Amazon Senior Software Development Engineer ML 

United States, Washington, Seattle 

311965539

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. You’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
In this role you will leverage your engineering background and expertise in ML to lead developing platforms for deploying, productionalizing, and scaling machine learning models, with a focus on variant retraining and ongoing model monitoring.A day in the life
- Lead the design and implementation of a stable and efficient training and inference infrastructure that scales to support a variety of different machine learning models.- Quickly learn the ins and outs of AWS infrastructure’s rack planning and forecasting distributed workflows, and engineer solutions to make these systems more robust, fault-tolerant, and efficient across input and output orgs.
About AWSDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 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
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in machine learning or equivalent
- Experience with developing state-of-the-art, best practice MLOps tooling and frameworks