# ML Research Scientist (Embodied AI & Reinforcement Learning) at Morphic Robot

- Company: Morphic Robot
- What the company does: Morphic AI is transforming the future of storytelling using breakthrough AI technologies. Go from idea to final video effortlessly with Morphic.
- Company website: https://morphic.com
- Type: Startups (AI role)
- Level: Mid level
- Location: Palo Alto
- Work setup: On-site
- Pay: $175K to $250K base salary per year (USD)
- Posted: 2026-06-03
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/metamorphic/549c8d6c-9477-4daa-8cf8-0b3d7f339d96
- Page: https://www.1752.vc/careers/jobs/morphic-robot-ml-research-scientist-embodied-ai-and-reinforcement-learning/

## About the role

We are hiring a Research Scientist to advance the learning algorithms and models that drive our neuro-aligned embodied agents. You will design, train, and evaluate the methods that connect our foundation models to physical systems, working across areas such as world models, action models, reinforcement learning, and learning from demonstration.

## What they're looking for

- PhD in Machine Learning, Robotics, Computer Science, Computational Neuroscience, or a related field — or equivalent research experience demonstrated through publications and shipped systems
- Strong publication record or technical track record in one or more of: reinforcement learning, world models, action models, imitation learning, or embodied AI
- Deep working knowledge of modern deep learning, including large-scale training, distributed optimization, and rigorous evaluation methodology
- Strong software engineering skills and strong working proficiency in Python and a modern deep learning framework, ability to write training and evaluation infrastructure that other researchers can build on
- Hands-on experience training and evaluating policies in simulation
- Comfort collaborating closely with engineers and researchers to deploy and evaluate methods in real-world settings, and to iterate across models, environments, and hardware

Tags: Technical Staff