Research Engineer, Frontier Data
Core
Build frontier-quality datasets, RL environments, and evaluation systems for a frontier AI lab client to improve model capabilities in software engineering, multimodal reasoning, and STEM.
Role type
Senior Research Engineer (Frontier AI Data & RL)
Builds
Custom datasets, reinforcement learning environments, verification systems, and evaluation harnesses for state-of-the-art AI models.
Domain
Frontier AI, Software Engineering Agents, Multimodal Reasoning, STEM, Embodied AI
Deliverable
production ML models
Required skills
Deep learning system design, data curation and denoising, synthetic data generation, RL environment design, verification system implementation, STEM reasoning, multimodal data handling, codebase navigation, task suite design
Preferred skills
Experience with VLM-driven agents, programmatic task generators, model-based evaluators, fine-tuning or RL experiments
Technologies
Python, PyTorch, TensorFlow, LLMs, RL frameworks, API design, database schemas, simulator dynamics
Responsibilities
Translate ambiguous research goals into technical proposals and data requirements; audit produced data for errors and leakage; design task suites and ground-truth signals; build automated validation and filtering pipelines; run evaluations to prove data impact on model behavior.
Seniority
Senior, hands-on IC