Invisible Technologies
Research Engineer
New York - Hybrid; San Francisco Bay Area - Hybrid · Full-time
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About the role
- As a Research Engineer, you'll work on how frontier models are measured, meaning the evaluations that labs and enterprises actually make decisions on, with direct influence over the methodology and not just its implementation.
Responsibilities
- Design benchmarks and RL environments that measure real model capability for frontier labs and enterprise clients
- Write and ship the production code that implements your designs
- Build and maintain the data pipelines that feed evaluation runs
- Partner with Research Scientists on methodology review, with Solutions Architects on client requirements, and with ML software engineers who build and maintain the underlying platform
- Evaluation & Infrastructure: Real experience building evaluation systems, RL environments, or training and inference infrastructure
Requirements
- Agentic Systems: Hands-on experience with modern agentic flows
- we weigh this more heavily than years of experience
Skills
- About Invisible
- Invisible Technologies makes AI work.
- Our platform cleans, labels, and structures company data so it is ready for AI.
Compensation
- For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
Benefits
- RL & Frontier Evaluation: Familiarity with reinforcement learning methods and how frontier models are evaluated
Company info
- In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.
- What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it.
- Ownership is at the core of everything we do.
This listing is sourced directly from Invisible Technologies's careers page and normalized into a canonical job model.