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Job Description
- Apply research ideas to high-impact problems by prototyping, curating datasets, and deploying optimized machine learning systems.
- Architect and implement scalable software libraries and high-quality code in Python or C++ to translate complex research into practical applications.
- Drive high-stake, long-term research projects from ideation to completion by scoping project needs, managing resources, and solving ambiguous problems.
- Train, evaluate, and iterate on deep neural models and reinforcement learning algorithms to continually improve agent performance and achieve research objectives.
- Influence engineering best practices by championing code reviews, mentoring team members, and facilitating clear communication between research and engineering. Communicate research developments, experimental results, and project status clearly to internal teams and the broader external community.