Sequen
Staff+ Research Engineer – Recursive Self-Improvement Lead
$350K–$400K
United States · Remote · Staff · Full-time · Posted Oct 9, 2026
- Experience
- 7+ years in applied ML research or research engineering.
About the job
Lead research on recursive self-improvement for Sequen’s autonomous ML research engine, running experiments and shipping improvements that help its agents produce better client models in production.
What you'll do
- Set the research roadmap for improving RRI’s research process and decide which approaches to ship.
- Design and test agent strategies, learn from recorded research sessions, and build evaluations of research quality.
- Work with applied scientists and the RRI team to turn research ideas into measured production improvements.
What they ask for
- 7+ years in applied ML research or research engineering, with hands-on work in LLM agents, AutoML, meta-learning, recursive self-improvement, or a closely related area.
- Have taken research ideas from prototype to a measured improvement in a shipped product or production system.
- Write production-quality Python and build experiments end to end.
- Experience leading or mentoring a small research team.
Nice to have
- Peer-reviewed publications or widely used open-source work in agents, RL, or AutoML.
- Experience with RL or LLM post-training, LLM/agent evaluations, search or recommendation, or multi-agent systems.
Pay
$350K – $400K USD base salary
Tools
Python, LLM agents, AutoML, meta-learning, RLHF
AI focus
Applied research on recursive self-improvement: improving an autonomous AI research engine’s agent strategies, learning from past sessions, and evaluating research quality.
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