Amazon Machine Learning Engineer Data Platform Engineering 

United States, Kansas 

931753201

In this customer facing position, you will architect and implement innovative AWS cloud-native ML solutions that achieve customer business outcomes. You will take the lead in inspecting, investigating, and understanding customer data sources. You'll design and run experiments, and research new algorithms. You'll work closely with talented data scientists and engineers to create data flows to and from models, and build data platforms that infuse ML into diverse missions.This position may required local travel up to 25%This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities- Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying models for real-world applications.- Work closely with Data scientists to process massive data and scale machine learning models while optimizing.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor's degree in computer science or equivalent
- 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
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- Master's / PhD in Machine learning and its practical applications.
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with running A/B tests in production and knowledge of causal inference and other modern machine learning techniques
- Experienced in large scale AI and ML infrastructure and distributed training and inference for large language models