Hone
Member of Technical Staff – Research Engineering
SF Office · On-site · Staff · Full-time · Posted Oct 6, 2026
- Experience
- 2+ years of engineering experience, or equivalent depth from research, open source or your own projects; time at a fast-growing startup.
- Visa sponsorship
- We sponsor visas and support you through the immigration process.
About the job
Own the evaluation, memory, simulation, and self-improvement systems that help AI engines learn from production feedback and achieve long-term goals inside companies.
What you'll do
- Build simulations from company context and production traces to evaluate long-running engines.
- Develop memory systems and self-improvement loops that convert traces into verified changes to skills, memory, code, and policies.
- Develop grading and credit-assignment methods for month-long trajectories.
What they ask for
- 2+ years of engineering experience, or equivalent depth from research, open source or your own projects.
- Time at a fast-growing startup.
- Shipped applied ML systems from scratch as an engineer, not only papers; run rigorous evals and experiments against production systems.
- Strong fundamentals in ML evaluation, experimental design, statistics, and LLM agents.
Nice to have
- Harness, post-training or applied AI experience at a lab or applied AI team.
- Published research, especially on agent memory or continual learning.
Tools
ML, LLM agents
AI focus
Build agentic AI engines that run over weeks or months, learn from production feedback, and improve through evaluation, memory, simulations, and verified self-improvement.
Model-written summary · the original posting is authoritative