Lead Research Engineer, Frontier Models & Benchmarks

Halluminate

San Francisco (CA)

Vor Ort

USD 200.000 - 275.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Healthcare coverage
Relocation stipend
401(k) match
Free meals
Gym membership
Transportation benefits
Visa sponsorship

Zusammenfassung

Halluminate, a San Francisco-based applied AI and data company, seeks a lead researcher to head in-house post-training and research efforts for frontier models used in finance workloads. You will train models, publish findings, drive benchmarks, contribute to platform tooling, and help build a high-performance engineering culture from the ground up, with a focus on research quality and real-world impact.

This in-person, SF-based role offers a base salary of $200–275k plus equity and relocation

Qualifikationen

  • Experience training/post-training models and evaluating their performance.
  • Proven track record publishing papers and open research.
  • Familiarity with evaluating benchmarks or RL for AI agents.
  • Ability to move quickly in a startup environment and iterate rapidly.
  • Strong ownership of product outcomes and user needs.
  • Comfort communicating with users, customers and SMEs.

Aufgaben

  • Train open-source frontier models on in-house environments to validate quality and gain insights.
  • Lead public benchmarks and leaderboard efforts for frontier models.
  • Publish findings in blogs and papers for the research community.
  • Contribute to core platform engineering, AI tooling, data pipelines, and collaboration with environment and reward designers.
  • Help build and shape the engineering team culture from the ground up.

Kenntnisse

Post-training models
Research publications
RL evaluations/benchmarks
Startup speed
Product ownership
Client-facing

Jobbeschreibung

Halluminate, a San Francisco-based applied AI and data company, seeks a lead researcher to head in-house post-training and research efforts for frontier models used in finance workloads. You will train models, publish findings, drive benchmarks, contribute to platform tooling, and help build a high-performance engineering culture from the ground up, with a focus on research quality and real-world impact.

This in-person, SF-based role offers a base salary of $200–275k plus equity and relocation

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