AI Research Engineer
Relari, San Francisco, California
About the job
About the role
You will develop machine learning systems that enable robots to acquire dexterous manipulation skills from human demonstrations and multimodal sensor data. You will work across data processing, model training, evaluation, and real-world deployment, using experiments to understand what makes robots learn more effectively. Our research involves vision, motion, biomechanical signals, and robot interaction data, with applications to imitation learning, vision-language-action models, video models, and world models. We are looking for engineers with strong machine learning fundamentals and the ability to turn research ideas into working systems. Prior robotics experience is not required.
What you’ll do
- Develop and improve training, fine-tuning, and evaluation pipelines for machine learning models using human and robot data.
- Train and adapt models for manipulation, action prediction, and learning from demonstrations.
- Explore methods for learning representations from vision, motion, and biomechanical signals.
- Experiment with imitation learning, reinforcement learning, and modern foundation models for robotic applications.