**The role:** - Design, build, and iterate on research infrastructure in close collaboration with research engineers. - Build tools to automate and maintain computing clusters and data parsing pipelines. - Design and build software and APIs that enable internal and external access to our AI systems. **Ideal background:** - Adaptability and openness to work on multiple problem areas (e.g. data processing pipelines, front-end software development). - Fast learner with a broad understanding of infrastructure, front-end, databases, CI, etc. - Bachelors or Graduate Degree in Computer Science, or a related field (not a hard requirement for an exceptional candidate). - Strong track record in programming (industry experience, internships, competitions, open-source projects). - Proficient in Python and C++. - Experience with cloud computing platforms (e.g., GCP). - Data science or engineering experience (e.g.
ML engineer, data infrastructure engineer). - Is located in the Bay Area (remote work is an option for exceptional candidates). **Pluses:** - Experience with Kubernetes or other cluster management platforms. - Front-end experience and proficient in HTML/CSS/Javascript, React, etc. **What we offer:** - The opportunity to join the founding team and play a critical and expanding role in shaping the company. - The opportunity to work on cutting-edge AI with leading researchers with an application and productization focus.
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