Robotics Research Engineer / Scientist — Robot Learning

Maxinsights; Santa Clara (CA); Vor Ort; USD 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Health insurance

Vision care

Dental coverage

401(k)

Paid holidays

PTO (Paid Time Off)

Sick leave

Zusammenfassung

Maxinsights is seeking a Robotics Research Engineer/Scientist to develop learning-based methods enabling robots to perform complex tasks in the real world. You will work on robot learning, policy training, and deployment, exploring imitation learning, reinforcement learning, and Vision-Language-Action (VLA) models.

This role emphasizes hands-on experimentation, translating research ideas into working robotic systems, with collaboration across infrastructure, simulation, and data teams to

Qualifikationen

• PhD in Robotics/CS/ML or related field, or substantial hands-on work with learning-based robotics.
• Strong Python programming and experience with deep learning frameworks such as PyTorch.
• Experience with at least one learning-based robotics approach (e.g., imitation learning, RL, diffusion policies, or VLA).
• Understanding of robotic manipulation, perception, control, or visuomotor learning.
• Ability to design and run experiments to evaluate learned policies.
• Proven problem-solving skills and translating research ideas into working systems.

Aufgaben

• Develop and train learning-based policies for robotic manipulation and embodied tasks.
• Apply imitation learning, reinforcement learning, diffusion policies, and VLA models.
• Work on visuomotor policies, bimanual and dexterous manipulation, and generalization.
• Design data collection and training pipelines with robot demonstrations.
• Deploy trained policies on physical robots and debug performance in real-world environments.
• Design rigorous experiments to evaluate task success, robustness, and generalization.
• Collaborate with infrastructure, simulation, and data teams to accelerate robot learning research.

Kenntnisse

Python

PyTorch

Problem solving

Hands-on

Ausbildung

PhD in Robotics/CS/ML or equivalent

MS degree considered

Tools

PyTorch

ROS

Jobbeschreibung

Job Overview

We are looking for a Robotics Research Engineer / Scientist to develop learning-based methods that enable robots to perform complex tasks in the real world.

Job Description

We are looking for a Robotics Research Engineer / Scientist to develop learning-based methods that enable robots to perform complex tasks in the real world. 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. 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.

What You Will Own

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Default Benefits

• Health insurance
• Vision care
• Dental coverage
• 401(k)
• Paid holidays
• PTO (Paid Time Off)
• Sick leave