Invisible Technologies provides performance-driven business process automation, operations outsourcing, and AI solutions to help businesses scale, cut costs, and support their teams effectively. Backed by BACKED VC.
About the role
Invisible is building a reinforcement learning capability inside its research organization, focused on evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise clients. 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.
What they're looking for
- Design benchmarks and RL environments that measure real model capability for frontier labs and enterprise clients
- Originate evaluation methodology and translate it into scoring frameworks, rubrics, and evaluation architectures
- Write and ship the production code that implements your designs
- Build and maintain the data pipelines that feed evaluation runs
- Run the analysis that establishes whether a result holds, and make evaluations reproducible
- 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
More about this role
Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.
Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. 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.
Invisible is building a reinforcement learning capability inside its research organization, focused on evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise...
Browse similar: Startup jobs · San Francisco Bay Area