The Role
The role involves designing, implementing, testing, and deploying manipulation algorithms and motion planning for RoboForce robots. You will also deploy models for product use and engage with AI robotics expertise to innovate in robotic capabilities.
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++
Python
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Resume Uploaded Successfully
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