The Role
The Senior ML Engineer will enhance robotic manipulation capabilities, developing algorithms for grasping, motion planning, and tactile learning for real-world applications.
Summary Generated by Built In
We are looking for a Senior ML Engineer to advance robotic manipulation capabilities, enabling dynamic and physically interactive tasks. You will develop algorithms for grasping, motion planning, and tactile learning in real-world environments.
Responsibilities:
- Design and deploy manipulation algorithms for high-DOF robotic tasks (e.g., grasping, connecting).
- Develop motion planning algorithms for dynamic environments.
- Deploy models as production-ready solutions on RoboForce robots.
Qualifications:
- Master’s degree in Machine Learning, Robotics, or related field with 4+ years of experience.
- Proficiency in C++ and Python, and deep learning frameworks (e.g., PyTorch, JAX).
- Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).
- Expertise in imitation learning, tactile sensing, and robotics learning.
- Must be on-site with no remote work option.
Preferred Skills:
- PhD with 3+ years of relevant experience.
- Strong publication record in robotic manipulation and GPU programming with CUDA.
- Proven ability to design scalable experimentation and data pipelines.
Top Skills
C++
Cuda
Jax
Python
PyTorch
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The Company
What We Do
RoboForce, an AI-Robotics company, is building a first-of-its-kind Robotic Workforce System to take on the most tedious, force-demanding, and dangerous work humans don't have to do
