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Research Engineer
Machine learningHybrid — New York; San Francisco Bay Area
Published on 2026-09-22
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
The Research Engineer role focuses on building reinforcement learning capabilities, including evaluation methodology and benchmarks for frontier models. The candidate will design scoring frameworks and run production systems to ensure reproducibility in evaluations.
About the company
Invisible is a technology company that specializes in automating business processes and providing operational support through advanced AI and workforce solutions. They serve enterprises by helping streamline workflows and improve efficiency across various functions.
The team
Research organization
Stack
PythonMachine Learning
What you'll do
- Design benchmarks and RL environments
- Originate evaluation methodology and scoring frameworks
- Write and ship production code
- Build and maintain data pipelines
- Run analysis to establish evaluation reproducibility
- Partner with Research Scientists and ML engineers
What we're looking for
- Production-quality code experience
- Fluency in Python and modern ML stack
- Experience with evaluation systems and RL environments
- Hands-on experience with agentic systems
- Familiarity with reinforcement learning methods
- Ability to turn research questions into working systems
Benefits
- Bonuses and equity included in full-time offers