Amazon Machine Learning Engineer Supply Chain Optimization Technologies 

United States, New York, New York 

523344350

As a Machine Learning Engineer, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge, technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations. In this role, you will work alongside other engineers and scientists to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Reinforcement Learning and Optimization within Machine Learning. It will be your job to implement novel ML systems, product integrations, and performance optimizations releases into production while also ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).
Key job responsibilities
* Collaborate closely with applied scientists on machine learning tasks ranging from ML code & data management to training and deployment of ML models.
* Own the development and operationalization of solutions deployed in production.
* Research and Develop stability and optimizations to continuously improve training KPIs, such as uptime, throughput and goodput.
* Collaborate with software engineering team to operationalize and scale training improvements across experimentation and production workloads.
* Design model experimentation processes and frameworks in synergy with our scientists.A day in the life
You will design, develop and evaluate highly innovative Reinforcement Learning models for solving complex business problems. Furthermore, you will create scalable, efficient and automated processes for large scale data analyses, model development, validation and implementation. Our teams embrace agile methodologies with a focus on test automation and continuous deployment.Work/Life Balance

- 3+ years of machine learning, statistical modeling, data mining, and analytics techniques 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