Staff Research Engineer – Recursive Self-Improvement Lead

Job not on LinkedIn

🔥 19 hours ago

🇺🇸 United States – Remote

💵 $350k - $400k / year

⏰ Full Time

🟠 Senior

📚 Research Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Sequen

WebsiteLinkedInAll Job Openings

11 - 50 employees

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

SaaS • Artificial Intelligence • B2B

Sequen is a platform company that provides real-time, in-session personalization and dynamic re-ranking infrastructure for consumer applications. The Sequen Ranking Platform combines ultra-low-latency runtime (advertised sub-20ms p99) with frontier AI techniques — including Large Event Models (LEMs), continual learning on dynamic user embeddings at inference, and multi-horizon optimization — to power adaptive product discovery, recommendations, search results and ad optimization. Sequen positions itself as a B2B SaaS provider for consumer-facing companies that want to drive higher conversion and better outcomes by using in-session signals and behavior to personalize each user’s experience.

📋 Description

• Define the research roadmap for recursive self-improvement and decide what ships • Design and test exploration policies, compute allocation across parallel agents, and agents that revise their own instructions and strategy • Turn recorded research sessions into training and evaluation signal • Define what constitutes better research and build evaluations with the RRI team • Make knowledge learned in one session improve subsequent sessions across tasks and clients • Track RSI, autonomous research, and agentic LLM literature and turn promising ideas into measured experiments • Work with applied scientists using RRI on real client problems to identify agent shortcomings • Write code and ship successful research into systems used by clients in production • Help grow the Recursive Self-Improvement team

🎯 Requirements

• 7+ years of experience in applied ML research or research engineering • Hands-on work in at least one of LLM agents, AutoML, meta-learning, recursive self-improvement, or a closely related area • Experience taking research ideas from prototype to a measured improvement in a shipped product or production system • Experimental rigor with baselines, ablations, seeds, and confidence intervals • Production-quality Python and ability to build experiments end to end • Understanding of frontier model behavior in long agentic loops, including context limits, compaction, tool use, failure modes, and cost • Ability to take accountability for a research direction in an early-stage team • Experience leading or mentoring a small research team • Peer-reviewed publications or widely used open-source work in agents, RL, or AutoML may be advantageous • Experience with reinforcement learning or LLM post-training, such as RLHF, reward modelling, or training agents with RL may be advantageous • Experience building evaluations or benchmarks for LLMs or agents may be advantageous • Background in search, recommendation, or learning-to-rank models may be advantageous • Experience with multi-agent systems or agent swarms may be advantageous

🏖️ Benefits

• Unlimited paid time off • Flexible hybrid/remote configurations • Highly collaborative, world-class engineering culture • Equity