Member of Technical Staff – Research Engineering
SF OfficeFull-timePosted 1w ago
About the role
Engine-driven AI research engineering role focused on building and improving self-improving AI engines that operate over long time horizons within real companies, including offline evaluation, memory, simulations, and self-improvement loops.
Responsibilities
- Simulations built from company context with simulated users and connectors to evaluate engines on tasks that take weeks or months.
- Turning production traces into simulations that we can rewind, fork with one change, and run forward, keeping the simulated world consistent.
- Memory systems that store, retrieve, and compact what engines learn.
- Self-improvement loops that turn traces into verified changes to skills, memory, code and policies.
- Grading and credit assignment over month-long trajectories.
Qualifications
- 2+ years of engineering experience, or equivalent depth from research, open source or your own projects
- Time at a fast-growing startup
- You've shipped applied ML systems from scratch as an engineer, not only papers
- You've run evals and experiments rigorously against production systems
- Strong fundamentals: ML evaluation, experimental design, statistics, LLM agents
- You use coding agents every day and still understand every line you ship
- You build and tinker for fun because you genuinely care about how the technology works
Skills
Required:engineering experienceApplied ML systemsEvals and experimentsML evaluation
Benefits
- Health and dental insurance
- maternity and parental support
- relocation support
Last updated Oct 22, 2026. Interested? Apply on the company site.
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