Staff Research Engineer – Frontier AI, RL & Evaluation
Core
Develop practical innovations in data, algorithms, evaluation, and training for frontier AI systems, specifically building large-scale datasets and reinforcement learning environments for post-training.
Role type
Staff Research Engineer (Frontier AI, RL & Evaluation)
Builds
Large-scale datasets, reinforcement learning environments, and evaluation frameworks for AI post-training
Domain
Artificial Intelligence / Machine Learning / Frontier AI Systems
Deliverable
production ML models
Required skills
Reinforcement learning, Synthetic data generation, Model evaluation, Python programming, Experimental design, AI frameworks, Technical leadership, Research prototyping
Preferred skills
Post-training, Model understanding, AI agents, Benchmarks
Technologies
Python, Modern AI/ML frameworks
Responsibilities
Investigate capabilities and limitations of frontier AI systems, Develop research-grade datasets and evaluation frameworks, Translate research findings into scalable applications, Mentor engineers and researchers
Seniority
Staff, hands-on IC with technical leadership
