Deep Learning Manipulation Engineer
$100k - $300k • Pittsburgh, San Mateo
Posted 6mo ago
Job Location
Pittsburgh, San Mateo
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
Skild AI is seeking a Deep Learning Engineer to develop and refine models for robotic manipulation. The role involves designing, training, and deploying algorithms that enable robots to interact intelligently and adapt to their environments. You will collaborate closely with machine learning, robotics, and research teams to ensure models are robust, efficient, and ready for real-world challenges, directly advancing Skild AI's robotics capabilities for autonomous complex task performance.
Responsibilities
- Design, implement, and optimize deep learning models for robotic manipulation.
- Model robotic manipulation processes for analysis, simulation, planning, and controls.
- Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for robotic systems.
- Work with inference, deployment, and application teams to integrate deep learning models into robotic platforms.
Requirements
- 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 (e.g., PyTorch, TensorFlow, JAX).
- Proficiency with advanced deep learning techniques and architectures, as well as reinforcement learning and/or imitation learning.
- Experience with distributed deep learning systems.