> Markdown version of [/jobs/ext/4395477-robotics-research-engineer-scientist-robot-learning](https://www.wearedevelopers.com/jobs/ext/4395477-robotics-research-engineer-scientist-robot-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Robotics Research Engineer / Scientist - Robot Learning

- **Company:** Maxinsights Corporation
- **Location:** Santa Clara, CA, United States
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Software Debugging, Python (Programming Language), Machine Learning, Open Source Technology, Robotic Automation Software, Reinforcement Learning, Pytorch, Deep Learning, Information Technology, Machine Learning Operations
- **Published:** October 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a437a44cec38f6f5

## About the Role

This role is ideal for someone with strong robotics or machine learning expertise who enjoys hands-on experimentation and pushing the capabilities of learning-based robotic systems., * A PhD in Robotics, Computer Science, Machine Learning, or a related field; alternatively, substantial hands-on experience developing learning-based robotic systems. Strong MS candidates are welcome.

 * Strong programming skills in Python and experience with deep learning frameworks such as PyTorch.
 * Experience with at least one learning-based robotics approach, such as imitation learning, reinforcement learning, diffusion policies, or VLA models.
 * Understanding of robotic manipulation, perception, control, or visuomotor learning.
 * Experience designing and conducting experiments to evaluate learned policies.
 * Strong problem-solving skills and the ability to translate research ideas into working systems., * Experience deploying learned policies on real robots.
 * Experience with bimanual or dexterous manipulation.
 * Experience collecting and processing robot demonstration data.
 * Experience improving task success rates, robustness, or generalization through model or data improvements.
 * Research publications or contributions to open-source robotics and ML projects are a plus.

Note: We prioritize candidates with hands-on experience in learning-based robotic systems. ROS integration or traditional control systems experience alone is not sufficient for this role.

## Description

You will work on robot learning, policy training, and real-world deployment, exploring approaches such as imitation learning, reinforcement learning, and Vision-Language-Action (VLA) models. You will help bridge the gap between research and practical robotic capabilities by developing, training, and evaluating policies on real robotic systems., * Develop and train learning-based policies for robotic manipulation and other embodied tasks.

 * Apply methods such as imitation learning, reinforcement learning, diffusion policies, and VLA models.
 * Work on visuomotor policies, bimanual manipulation, dexterous manipulation, and generalization across tasks or environments.
 * Design data collection and training pipelines using robot demonstrations and other relevant datasets.
 * Deploy trained policies on physical robots and debug performance in real-world environments.
 * Design rigorous experiments to evaluate task success, robustness, and generalization.
 * Analyze failures and iterate on data, model architectures, and training strategies to improve performance.
 * Collaborate with infrastructure, simulation, and data teams to accelerate robot learning research.