Staff Software Engineer, AI Safety
Hybrid (Cambridge, MA; London, UK; San Francisco, CA)$192k - $288kfull-timePosted 5d ago
About the role
Engineering role focused on building and maintaining safety-focused tools and infrastructure to identify, evaluate, and mitigate risks from AI systems, collaborating with researchers and core engineering teams to enable reusable safety tooling and reproducible experimentation across scientific models and evaluations.
Responsibilities
- Build reusable services, libraries and model/tool integrations that make evaluations, red-teaming campaigns and mitigation experiments repeatable.
- Develop applications that help researchers and scientific experts organize evidence, inspect results, review data and investigate failures.
- Work with safety colleagues to understand research needs and identify shared engineering needs, prioritize useful improvements and turn evolving research workflows into maintainable software.
- Build data pipelines and experiment records that preserve datasets, taxonomies, model versions, configurations and results, making findings traceable and comparisons reproducible.
- Own the reliability and usability of shared safety tools through testing, debugging, monitoring, documentation and continued improvement.
- Collaborate across LILA with our core AI and software engineering teams to share tooling, align on infrastructure, and avoid duplication.
Qualifications
- A track record of independently delivering and maintaining production software, including projects with ambiguous or changing requirements.
- Strong Python and backend engineering skills, with experience designing APIs, working with databases and building dependable data or execution pipelines.
- Experience translating the needs of researchers, domain experts or other technical users into usable tools, and comfort working across services and interfaces.
- Sound engineering judgment in system design, testing and debugging, including practical decisions about reliability, performance and complexity.
- Engineering experience in AI research, AI safety, scientific computing or other settings with rapidly evolving experimental workflows.
- Clear communication and an interest in scientific AI safety, with the ability to understand research context and make informed engineering decisions.
Skills
Required:PythonBackend engineeringTooling for researchers
Benefits
- Full benefits for U.S. and international regions as described (medical, dental, vision; life and disability insurance; flexible time off with holidays; parental leave; educational assistance; commuter benefits; lunch program; region-specific tailoring).
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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