Member of Technical Staff - Platform Engineering
About the role
Halluminate is a data research lab building benchmarks and RL environments to push the frontier of AI in knowledge work. The role focuses on owning platform engineering, developing frontier long-horizon RL environments, and helping to grow the engineering organization.
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.
Qualifications
- 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.
Skills
Benefits
- 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.
About Halluminate
Data and RL environments to automate knowledge work
We help foundation model labs and enterprises train computer use AI with data and sandboxes. A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value. Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources: 1) High quality datasets for benchmarking and evaluations 2) Realistic sandbox environments for safe and accurate testing/training (ex. a simulated version of Salesforce) Halluminate offers a suite of products and services to address both these issues. Our evaluation service combines proprietary datasets with high quality annotations to help our customers identify and prioritize the biggest failure modes of their computer- and browser- use AI. Our platform provides a catalog of fully managed sandboxes, empowering our customers to safely and accurately test/train at scale, resulting in improved performance. Our customers see - Improved browser- and computer-use agent performance - New and emergent frontier agent capabilities - Data driven prioritization leading to exponentially faster development speed - Increased revenue/sales via marketing from public benchmarks Our paying customers already include leading computer use model labs and the two largest browser agent companies in the space. Wyatt and Jerry are friends that met their first week of school studying CS at Cornell University. They’ve been working and studying together for 7+ years.
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