Research Engineer, Post-training & Deployment
San Mateo, CA$100k - $300kPosted 3mo ago
About the role
Research Engineer focused on post-training, deployment, and real-world robot behavior. Responsible for improving Skild foundation models and deploying them onto robots in the field, collaborating with customers and deployment data to ensure safe, efficient, and robust autonomous systems in real-world environments.
Responsibilities
- Research, post-train and evaluate large deep learning models for robotic manipulation tasks.
- Develop frameworks to continuously improve robot behaviors.
- Collaborate closely with our product teams to source and iterate on customer requirements to ensure technical alignment for on-site deployments.
- Own scenario setup and data collection methodologies, managing the operational lifecycle for unique customer use-cases.
- Work with our robotics teams to maintain and ensure robots are deployment-ready and execute full-stack software and hardware deployments at customer sites.
- Build robust testing and evaluation pipelines for tracking model improvements and corner cases.
Qualifications
- BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Deep technical knowledge in computer vision and deep learning for robotics, including reinforcement and imitation learning.
- Prior experience working with large-scale model training.
- Prior experience developing and deploying ML models or software on real robots.
- Prior experience with ROS/ROS2 or other robotics middleware platforms.
- Bonus if you have experience working with customers and deploying real-world robotics applications.
- Bonus if you have experience leveraging LLMs to accelerate development and solve complex engineering problems.
Last updated Jul 5, 2026. Interested? Apply on the company site.
About Skild AI
Bringing AI into the physical world
Building general purpose robotic intelligence
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