Staff+ Research Engineer — Recursive Self-Improvement Lead (Fully Remote)

Sequen; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid/Remote work

Unlimited PTO

High impact role

Job summary

Sequen is seeking an experienced ML researcher/engineer to advance Recursive Ranking Intelligence (RRI). You will conduct applied ML research and translate results into production-ready code that improves client model gains.

The role demands hands-on Python and frontier LLM agentic-loop fluency, with 7+ years in the field. You will ship code and measure impact across client deployments in a small, highly technical team.

Qualifications

• 7+ years in applied ML research or engineering.
• Hands-on Python and frontier LLM agentic-loop fluency.
• Experience shipping code and measuring impact on client models.

Responsibilities

• Conduct applied ML research to advance recursive self-improvement for RRI.
• Ship production code and evaluate gains on client models.
• Collaborate with a small, highly technical team in an autonomous environment.

Skills

Applied ML research

Python

LLM agentic-loop fluency

Tools

Frontier LLM tooling

Job description

• Applied research on recursive self-improvement for RRI.
• Ship code and measure success by client model gains.

About you:

• 7+ years in applied ML research or engineering.
• Hands-on Python and frontier LLM agentic-loop fluency.

What we offer:

• High-impact influence on an autonomous research engine.
• Unlimited PTO and flexible hybrid/remote work.

Sequen

Sequen builds Recursive Ranking Intelligence (RRI), an autonomous engine where AI agents perform ML research in clients' clouds or on Sequen-hosted instances. It is a small, highly technical, early-stage team turning AI advances into production ranking systems.