Member of Technical Staff - Platform Engineering

Halluminates; San Francisco (CA); On-site; USD 215,000 - 275,000; Full time

Benefits offered by this job

Healthcare

Relocation stipend

401(k) match

Free meals

Gym membership

Transportation assistance

Visa sponsorship

Job summary

Halluminate is building frontier RL environments and benchmarks to advance AI in knowledge work. The role owns platform engineering, enabling scalable RL environments, and helping shape the engineering org from the ground up.

The position involves building scalable RL infrastructure, researching next-generation environments, and delivering 10–100x improvements in environment creation. SF-based, 5 days in office with relocation support.

Qualifications

• Familiarity with evaluating benchmarks or RL for AI agents.
• Ability to move fast in a startup environment.
• Strong product and user ownership; prioritize roadmap.
• Excellent client-facing communication.

Responsibilities

• Build RL environment training and inference infrastructure for customer usage at scale.
• Research and develop next-generation RL environments with realism and long horizon.
• Build software that 10–100x's the quality and throughput of RL environment creation.
• Innovate on synthetic data pipelines to create realistic problems.
• Build platform analytics for environment cost, hours, bottlenecks, and SME management.
• Craft domain‑specific verifiers (verifiable rewards for decks, Excel modeling, and beyond).
• Establish engineering culture and practices from the ground up.

Skills

RL for AI

Startup mindset

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: $215–275k · Equity: 0.10–0.20% · Location: San Francisco, 5 days in office

Own platform engineering, develop frontier long-horizon RL environments, and help build our engineering org from the ground up.

Responsibilities

• Build our RL environment training and inference infrastructure to support customer usage at scale.

• Research and develop next-generation RL environments — increasingly realistic, long-horizon, and difficult for frontier models.

• Build software that 10–100x's the quality and throughput of RL environment creation.

• Innovate on synthetic data pipelines to create realistic problems.

• Build platform analytics for environment cost, hours, bottlenecks, and SME management.

• Craft domain‑specific verifiers (verifiable rewards for decks, Excel modeling, quantitative trading, and beyond).

• Establish engineering culture and practices from the ground up.

You should have

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

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

• Strong product and user ownership; ability to prioritize across a large roadmap.

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

Nice to have

• Research background (training models, publishing papers).

• 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.