Amazon Machine Learning Engineer II Walk JWO 

United States, Washington, Seattle 

971010040

We are looking for a talented Machine Learning Engineer to join our team. In this role, you will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists and other engineers to help investigate, evaluate, implement, and connect sophisticated algorithms to our cloud based engines. You will design, build, evaluate prototypes and production-ready components. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns.You will have the opportunity to work with scalable model development tools using SageMaker, AWS, Nvidia GPUs and Docker. You will learn techniques for automating model training, evaluation, deployment and monitoring using machine learning pipelines. You will work closely with researchers in building algorithms ranging from classical machine learning to foundational multi-modal models on diverse types of signals.You will tackle challenging situations every day and you’ll have the opportunity to work with multiple technical teams at Amazon. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on many customers.
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
Key job responsibilities
In this role, you will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will partner with scientists and other engineers to help investigate, evaluate, implement, and connect sophisticated algorithms to our cloud based engines. You will design, build, evaluate prototypes and production-ready components. Candidates should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns.A day in the life
You will have the opportunity to work with scalable model development tools using SageMaker, AWS, Nvidia GPUs and Docker. You will learn techniques for automating model training, evaluation, deployment and monitoring using machine learning pipelines. You will work closely with researchers in building algorithms ranging from classical machine learning to foundational multi-modal models on diverse types of signals.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent