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Software Engineer, Machine Learning

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Key skills for this role

PyTorchTensorFlowPython

Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
6+ years of programming experience in a relevant language or 3+ years of experience + PhD
Experience building maintainable and testable code bases, including API design and unit testing techniques

Experience building and shipping high quality work and achieving high reliability
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Experience with developing machine learning models at scale from inception to business impact
Exposure to architectural patterns of large scale software applications

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