Skild AI · 2 weeks ago
Deep Learning Manipulation Engineer
San Francisco, CA
Full-time
Onsite
Entry, Mid Level
$100K/yr - $300K/yrSkild AI is building the world's first general purpose robotic intelligence that adapts to unseen scenarios. They are seeking a Deep Learning Manipulation Engineer to develop and refine models for robotic manipulation, ensuring these models are robust and efficient for real-world challenges.
Computer Software
Responsibilities
Design, implement, and optimize deep learning models for robotic manipulation
Model robotic manipulation processes to enable analysis, simulation, planning, and controls
Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems
Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms
Qualification
Required
Design, implement, and optimize deep learning models for robotic manipulation
Model robotic manipulation processes to enable analysis, simulation, planning, and controls
Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems
Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms
Preferred
BS, MS, or higher degree in Computer Science, Robotics, Mechanical 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
Proficiency with advanced deep learning techniques and architectures as well as reinforcement learning and or imitation learning
Experience with distributed deep learning systems
Company
Skild AI
Building general purpose robotic intelligence.
Founded in 2023
11-50 employees
H1B Sponsorship
Skild AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (2)
Funding
Current Stage
Early StageRecent News
2025-10-03
2025-09-27
2025-09-26
Company data provided by crunchbase