Skild AI
Posted 117 days agoVerified live 2d ago
Research Engineer
Brief overview
San MateoIn-person
$100k–$300k/yrStated range
15 H-1B approvalsDept. of Labor
About the company
Skild AIskild.ai
Robotics and AI research company.
Visa sponsorship history
3 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.15H-1B approved
100%approval rate
12new H-1B hires
$250,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20241
20257
20267
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20241
20262
Top sponsored roles
Research EngineerMachine Learning EngineerMachine Learning Engineer, Reinforcement Learning
Job description
Summary
Skild AI is building the world's first general purpose robotic intelligence capable of adapting to unseen scenarios. They are hiring Research Engineers to develop scalable robotic systems aimed at achieving general-purpose robotic intelligence, collaborating with multidisciplinary teams to implement machine learning and robotics solutions.
Responsibilities
- Develop and implement new algorithms for training and optimizing general-purpose robot foundation models
- Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets
- Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.)
- Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications
- Optimize machine learning models for real-world robotic systems
Skills
- Develop and implement new algorithms for training and optimizing general-purpose robot foundation models
- Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets
- Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.)
- Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications
- Optimize machine learning models for real-world robotic systems
- 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
- Strong track record of publishing papers and/or deploying real-world applications
- Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision
- Experience working with robot systems and large-scale model training
Qualifications
Must Haves
- Develop and implement new algorithms for training and optimizing general-purpose robot foundation models
- Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets
- Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.)
- Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications
- Optimize machine learning models for real-world robotic systems
Nice to Haves
- 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
- Strong track record of publishing papers and/or deploying real-world applications
- Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision
- Experience working with robot systems and large-scale model training