Tactile AI Research Engineer - Special Projects (Robotics)

What you'll do

• Implement, train, optimize, and deploy machine-learning models for tactile-enabled robotic systems.
• Generate training data and establish metrics and protocols to evaluate robot policy performance.
• Collaborate across disciplines and document research findings and technical developments.

What they ask for

• 3+ years of relevant experience deploying tactile-based policies in robotics.
• 6+ years of relevant experience in robotics and machine learning.
• Strong proficiency in Python and C++, and expertise in machine-learning algorithms and deep-learning frameworks such as PyTorch and TensorFlow.
• Bachelor’s, Master’s, or PhD degree in Engineering, Robotics, Computer Science, or a related field.

Nice to have

• Understanding of tactile sensing and haptics, and a foundation in robot kinematics, dynamics, motion planning, and control.
• Experience with physics simulation software and contact mechanics, such as Mujoco, IssacLab simulator, or Drake.

Pay

$184,700 and $324,800 (base salary)

Tools

Python, C++, PyTorch, TensorFlow, Mujoco, IssacLab simulator, Drake

AI focus

Train and deploy machine-learning models and policies for tactile-enabled robotics, using simulation and real-world demonstrations to address contact physics and sim-to-real gaps.