Member of Technical Staff (Applied AI)
Core
Build RL environments, tasks, and verification logic for training and evaluating frontier AI agents in regulated industries.
Role type
Applied AI engineer (RL environments & evaluation)
Builds
RL environments, task definitions, verification logic, and reward functions for AI agents
Domain
AI safety & evaluation in finance, healthcare, and legal
Deliverable
production ML models
Required skills
LLM prompting, RL environment design, reward function engineering, verification logic, domain expert collaboration, synthetic data generation
Preferred skills
Finance/healthcare/legal domain knowledge, RL training workflows, cloud infrastructure (AWS/GCP), startup experience
Technologies
LLMs, RL frameworks, cloud platforms (AWS, GCP)
Responsibilities
Construct RL environments around professional workflows, write verification logic and reward functions, prototype evaluation approaches, collaborate with domain experts to define ground truth
Seniority
Mid-level, hands-on IC
