Amazon Machine Learning Engineer Search Relevance 

United States, California, Palo Alto 

193443422

Key job responsibilities
1. Design and build scalable infrastructure that enables training, evaluating and deploying machine learning models over billions of collected historical data points
2. Design and develop tools for monitoring the performance of machine learning models at scale
3. Design and develop lineage and artifact tracking infrastructure for training data, ML models and experiments
4. Design and develop reproducible ML Pipelines orchestrating various components for ML models.
5. Embrace and champion engineering best practices within your group and beyond
6. Produce clean, high-quality code, tests, and written documentation

- 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
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

- 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
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence