Amazon Senior Machine Learning Engineer Sponsored Products 

United States, Texas, Arlington 

395450482

Key job responsibilities
Job Responsibilities:• Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.
• Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.
• Work closely with applied scientists to optimize the performance of machine-learning models, improve the team’s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.

- 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
- Experience in building large-scale machine-learning infrastructure for online recommendation, ads relevance and/or ranking, personalization, search, or similar area.

- 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
- Industry experience in software development.
- Experience with machine learning in production
- Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Pig, Hive, Presto, HBase, etc.
- Excellent software systems design experience
- Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch, etc.
- Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing
- Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices