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Salary
$200k – $300k per year
Location
In office (San Francisco)
Seniority
Middle · 4+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

About the Role

As the Founding ML Research Engineer on a consumer AI assistant team, you will lead hands-on research and engineering to improve how the assistant responds, uses tools, and acts safely. Your work will shape product quality while balancing reliability, latency, and model costs.

What You'll Do

  • Build evaluation systems that turn real conversations and user preferences into trustworthy measures for product decisions.

  • Post-train models using supervised fine-tuning, preference tuning, and distillation, then ship the improvements to production.

  • Develop and evaluate model routing that uses smaller models for routine requests and more capable models when needed.

  • Manage the tradeoffs among response quality, latency, and cost across the product.

  • Improve agent reliability on websites without APIs, including navigation, sign-in, and checkout flows.

  • Test for adversarial inputs, data exposure, and unintended actions, then build safeguards and evaluations.

  • Apply ML to memory, retrieval, tool selection, and decisions about when to act or ask the user.

  • Review real conversations, identify opportunities for improvement, and help set research direction as the team grows.

What We're Looking For

  • At least 4 years of ML or software engineering experience in an AI lab, AI product company, or equivalent environment.

  • Hands-on experience fine-tuning or post-training large language models and shipping results to production.

  • Experience designing evaluations, such as LLM judges, human preference data, or traffic replay, that support product decisions.

  • Background in one or more areas: red teaming, browser or computer-use agents, model routing, or production agents with tool use and long-running memory.

  • Strong Python skills and familiarity with the ML stack, plus comfort using TypeScript for product code.

  • A founding-team mindset, with the ability and interest to take ownership and set research direction.

Compensation & Benefits

Annual salary range: $200,000 to $300,000. Visa sponsorship is not available.

Location

Full-time, on-site in San Francisco, California.

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