Member of Technical Staff - Research / Post-Training

Halluminates; San Francisco (CA); On-site; USD 250,000 - 320,000; Full time

Benefits offered by this job

Healthcare

Relocation stipend

401(k) match

Food

Gym membership

Transport

Visa sponsorship

Job summary

Halluminate is a data research lab focused on building benchmarks and RL environments to advance AI in knowledge work. We are headquartered in San Francisco, offering a substantial base salary and equity for a senior researcher leading post-training efforts.

The role is to lead in-house research, post-training activities, and public benchmarks while publishing findings and shaping the platform with strong product ownership and client-facing skills. U.S. relocation support is included.

Qualifications

• Experience in model post-training.
• Experience publishing papers and sharing open research.
• Familiarity building evaluations, benchmarks, or RL for AI agents.
• Startup speed: iterate quick, ask quick, respond quick.
• Strong product and user ownership.
• Client-facing comfort — you'll talk to users, customers, and SMEs.

Responsibilities

• Train open-source frontier models on our in-house environments to validate quality and build research insights.
• Lead our public-facing benchmark and leaderboard efforts for frontier models.
• Publish findings in blogs and papers to share with the broader research community.
• Contribute to core platform engineering as needed — AI tooling, data collection pipelines, partnering with environment and reward designers.
• Build our engineering team culture from the ground up.

Skills

Post-training ML experience

Research publication experience

Benchmark/RL evaluation experience

Startup pace

Product ownership

Client-facing

Job description

About Halluminate

Halluminate is a data research lab building benchmarks and RL environments to push the frontier of AI in knowledge work.

Our first area of focus is economically valuable workflows in financial services and consulting, but we are rapidly expanding into adjacent verticals.

The role

Base: $250–320k · Equity: 0.20–0.35% · Location: San Francisco, in-person

Lead our in-house research and post-training efforts.

Responsibilities

• Train open-source frontier models on our in-house environments to validate quality and build research insights.

• Lead our public-facing benchmark and leaderboard efforts for frontier models.

• Publish findings in blogs and papers to share with the broader research community.

• Contribute to core platform engineering as needed — AI tooling, data collection pipelines, partnering with environment and reward designers.

• Build our engineering team culture from the ground up.

You should have

• Experience in model post-training.

• Experience publishing papers and sharing open research.

• Familiarity building evaluations, benchmarks, or RL for AI agents.

• Startup speed: iterate quick, ask quick, respond quick.

• Strong product and user ownership.

• Client-facing comfort — you'll talk to users, customers, and SMEs.

Nice to have

• Former founders or experience at early-stage startups.

What we offer

• Healthcare — Fully covered medical, dental, and vision for you. Subsidized for dependents.

• Relocation — $10k+ relocation stipend to help you get to San Francisco.

• 401(k) — Up to 4% employer match.

• Food — Free breakfast, lunch, and dinner while working.

• Health — Free gym membership.

• Transportation — Free Ubers and Waymo rides to and from the office.

• Visa sponsorship — We sponsor visas, including H-1B.