Staff Research Engineer – RRI Harness

Job not on LinkedIn

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $300k - $350k / year

⏰ Full Time

🔴 Lead

📚 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.

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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

• Build and evolve the Python multi-agent runtime, including orchestration, tool contracts, context and memory management, compaction, and model adapters across LLM providers • Design and run experiments on agent prompting, tool design, context and memory strategies, and model choice • Ship changes that measurably improve RRI results • Deliver a fixed evaluation set, scorecard with measured noise bands, per-change harness evaluations, and component ablations • Engineer resilience across GPU failures, node replacement, rolling upgrades, provider errors, and credit limits • Build event streams, cross-session analysis, per-agent cost and token accounting, and MCP administration tooling • Identify and reduce agent idling, looping, and excessive token usage • Design interfaces with the Go control plane and GPU proxy owners • Partner with applied scientists and forward-deployed engineers to diagnose and resolve production client issues • Own the core runtime of Sequen's autonomous research engine

🎯 Requirements

• 7+ years of experience building production software • Strong Python skills • History of distributed or long-running systems • Experience building with LLMs in agentic loops, including tool calling, prompt and context management, streaming, and retries • Ability to debug across process, container, and network boundaries • Experience with Kubernetes and GPU nodes • Ability to read a training script, understand a ranking metric, and distinguish real regressions from noise • Applied research experience with ML or LLM experiments, baselines, and ablations • Experience with evaluation infrastructure, test harnesses, benchmarks, experiment tracking, or ML CI • Working knowledge of Go • Experience with on-prem, BYOC, or air-gapped environments and security constraints • Experience with PyTorch training at scale, GPU scheduling, or ML platforms • Contributions to agent frameworks, eval harnesses, or ML tooling are advantageous

🏖️ Benefits

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