AI Systems Engineer
Transluce is an independent San Francisco 501(c)(3) nonprofit research lab building open technology and research infrastructure for scalable oversight and understanding of AI systems.
Funding history
About Transluce
Transluce develops research, platforms, and open-source tools intended to help evaluators and other stakeholders understand, measure, and steer advanced AI behavior in the public interest. Its active product, Docent, analyzes AI-agent transcripts using traceable behavior rubrics, qualitative review, and quantitative analysis.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the design and development of the core ML stack. You will establish code culture and tooling, solve infrastructure challenges across evaluation, inference, and distributed training, build internal tools, set technical direction, and help others address infrastructure challenges.
Requirements
- Python
- GPU optimization
- Accelerator optimization
- Parallel programming
- Distributed systems
- Reliability
- Architecture design
- Code quality
Responsibilities
- Set code culture and tooling
- Solve technical infrastructure challenges across evaluation, inference, and distributed training
- Build internal tools
- Set best practices and infrastructure direction
- Help team members address infrastructure challenges
Benefits
- International visa sponsorship