Senior AI Research Scientist (Model-based RL)

Overview

Job Description

Responsibilities

• - Design, implement, and evaluate model-based reinforcement learning agents
• - Develop learned dynamics and world models that generalize across systems
• - Research and implement methods for safe RL, constrained control, scenario planning, and Bayesian RL
• - Report and present research findings clearly and efficiently
• - Participate in and organize ambitious collaborative research projects
• - Mentor and guide Research Engineers
• - Independently define new research directions
• - Translate research into practical outcomes
• - Own the development and rollout for an entire research area or large project

Required Skills

• - PhD in a technical field or equivalent practical experience
• - Strong background in model-based reinforcement learning
• - Knowledge in planning algorithms, world models, reinforcement learning, and control theory
• - 2+ years of research experience in academia or industry after PhD graduation or 5+ years after Master’s graduation
• - Extensive research in ModelBased, ModelFree, Safe RL and Control Theory
• - Hands-on experience building and evaluating agents against simulators
• - Share company values: Collaboration, Transparency, Operational Excellence, Ownership, and Empathy

Benefits

• - Fast-paced, team-oriented environment
• - 100% remote company
• - Competitive compensation & meaningful equity
• - Outsized responsibilities & professional development
• - Training is foundational
• - Medical, dental, and vision insurance
• - Unlimited paid time off, with a required minimum of 20 days per year
• - Paid parental leave
• - Flexible stipends to support workspace and well-being
• - Company MacBook