Research Engineer

What you'll do

• Find relevant research, benchmarks, and prior work; implement methods and reproduce or improve results.
• Scope and own research projects end to end, including MVPs, evaluation, and data sourcing or annotation.
• Translate research into customer datasets, pilots, internal datasets, or publications, and assess technical feasibility of new opportunities.

What they ask for

• MS or PhD in ML, CS, or a related quantitative field, or equivalent demonstrated research experience.
• Strong ML understanding, including model training and evaluation, paper assessment, and method reimplementation.
• Hands-on experience in at least one of RL/agentic systems, AI/ML evaluation and benchmarking, or multimodal ML.
• Strong Python and ability to build and ship experiments, evaluation harnesses, environments, or infrastructure independently.

Nice to have

• Publication track record; first-author preferred.
• Experience with agent or multimodal benchmarks, RL environments, reward modeling, synthetic data, HITL workflows, or cloud and containerized environments.

Pay

USD 180,000–250,000 per year base salary

Tools

Python, RL, OSWorld, MMMU, WebArena, SWE-bench

AI focus

Research and develop ML methods, agentic systems, evaluation and benchmarking, and multimodal capabilities; validate them with experiments and data, with work potentially supporting frontier model performance.