Amazon Machine Learning Engineer AGI - Web & Knowledge Services 

United States, California, Sunnyvale 

395532693

Key job responsibilities
* Design and build scalable infrastructure that enables training, evaluating and deploying machine learning models over billions of collected historical data points
* Design and develop tools for monitoring the performance of machine learning models at scale
* Design and develop lineage and artifact tracking infrastructure for training data, ML models and experiments
* Design and develop reproducible ML Pipelines orchestrating various components for ML models.
* Optimize model performance, robustness, and efficiency through techniques like model compression, knowledge distillation, and hardware acceleration
* Embrace and champion engineering best practices within your group and beyond
* Produce clean, high-quality code, tests, and written documentation
* Mentor and guide junior engineers, share knowledge, and contribute to an innovative, collaborative culture

- 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
- Bachelor's degree in computer science or equivalent