Amazon Web Services (AWS) · 2 days ago
Machine Learning Engineer
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Responsibilities
Solve complex technical problems at every layer of the stack.
Design, implement, test, deploy and maintain innovative ML solutions.
Build high-quality, highly available, always-on products.
Research implementations for the best possible customer experiences.
Build high-impact ML solutions for a large customer base.
Participate in design discussions, code review, and communicate with stakeholders.
Work cross-functionally to drive business solutions with technical input.
Work in a startup-like development environment on critical projects.
Qualification
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Required
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
2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models
Preferred
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field
Benefits
Medical benefits
Financial benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
Funding
Current Stage
Late StageLeadership Team
Recent News
2024-06-01
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