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.
