Responsibilities
- Lead and collaborate in diverse and engaging software work, which includes areas such as experiment management, modeling algorithm development, live inference deployment, and more
- Translate novel research ideas into performant and reliable code
- Work in a large codebase, building modular, manageable code
- Proactively lead complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with teammates
- Act as a technical leader for both research and engineering staff
Requirements
- Computer Science Degree or equivalent experience
- 5+ years of software engineering experience
- Collaborate with researchers and translate research needs into scalable, maintainable software systems with a focus on long-term sustainability
- Expertise in a modern programming language, specifically Python, R, and/or C/C++
- Expertise with Python and/or R data science packages
- Proficiency developing in a Linux environment with a focus on performance, concurrency, and correctness
- Proficiency with machine learning frameworks and libraries
- Previous experience with performance optimization of modeling code
- Ability to understand key details to provide correct systems
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