Member of Technical Staff - Platform Engineering

Halluminate; San Francisco (CA); On-site; USD 200,000 - 275,000; Full time

Benefits offered by this job

Healthcare

Relocation stipend

401(k) match

Free meals

Gym membership

Transit benefits

Visa sponsorship

Job summary

Halluminate is seeking a Platform Engineer to own our platform engineering, develop frontier RL environments, and help scale our engineering team from the ground up. The role is based in San Francisco with 5 days in the office, offering a base salary of $200–275k plus equity and relocation support.

We value startup speed and strong product ownership, plus the ability to talk with users, customers, and SMEs.

Qualifications

• Familiarity with evaluations, benchmarks, or RL for AI agents.
• Ability to move quickly in a startup environment.
• Strong ownership of product and user outcomes.
• Comfort talking to users, customers, and SMEs.

Responsibilities

• Build RL environment training and inference infrastructure to support customer usage at scale.
• Research and develop next-generation RL environments with long horizons.
• Improve 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.
• Create verifiers for decks, Excel modeling, quantitative trading, and beyond.
• Establish engineering culture and practices from the ground up.

Skills

RL experience

Startup mindset

Product ownership

Client-facing

Job description

About Halluminate

Halluminate is an applied AI and data company building computer-use and tool-use RL gyms to train AI agents on real financial services work — Excel modeling, pitch decks, and everything investment banking, private equity, and hedge funds rely on. We work with frontier labs, graduated from Y Combinator (S25), and raised a seed round to scale the team.

The role

Base: $200–275k

• Equity: 0.15–0.30%
• 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.