Senior ML Research Engineer mountain view
Senior ML Research Engineer Manipulation to advance robotic manipulation capabilities enabling dynamic and physically interactive tasks. You will design and deploy algorithms for dexterous manipulation tasks and deploy for real-world applications.
Responsibilities
Design and deploy algorithms for dexterous manipulation tasks.
Develop motion planning models for dynamic environments.
Deploy models as production-ready solutions on RoboForce robots.
Create and enhance contact-rich robot learning stacks through physics-based simulation. Requirements
Masters degree in Machine Learning Robotics or related field with 4 years of experience or a PhD degree.
Decent understanding of multimodal models modern ML architectures (transformers diffusion models etc.).
Expertise in imitation learning reinforcement learning tactile sensing and robotics learning.
Proficiency with one or more physical simulators (e.g. MuJoCo IsaacSim Drake PyBullet PhysX) and experience working in a deployed robotics environment.
Proficiency in Python and deep learning frameworks (e.g. PyTorch JAX).
Requires 5 days/week in-office collaboration with the teams. Bonus Qualifications
Expertise in large foundation models (VLM VLA etc).
Strong publication on top conferences in robotics manipulation.
Expertise in neural network deployment (e.g. TensorRT) and GPU programming with CUDA.
Proven ability to design scalable experimentation and data pipelines.
Familiarity with 3D computer vision and/or graphics pipelines Benefits
Competitive stock options/equity programs.
Health dental and vision insurance 401(k) plan.
Visa sponsorship and green card support for qualified candidates.
Lunches and dinners a fully stocked kitchen and regular team-building events.
Senior ML Research Engineer mountain view Senior ML Research Engineer Manipulation to advance robotic manipulation capabilities enabling dynamic and physically interactive tasks. You will design and deploy algorithms for dexterous manipulation tasks and deploy for real-world applications. Responsibi...
Senior ML Research Engineer mountain view
Senior ML Research Engineer Manipulation to advance robotic manipulation capabilities enabling dynamic and physically interactive tasks. You will design and deploy algorithms for dexterous manipulation tasks and deploy for real-world applications.
Responsibilities
Design and deploy algorithms for dexterous manipulation tasks.
Develop motion planning models for dynamic environments.
Deploy models as production-ready solutions on RoboForce robots.
Create and enhance contact-rich robot learning stacks through physics-based simulation. Requirements
Masters degree in Machine Learning Robotics or related field with 4 years of experience or a PhD degree.
Decent understanding of multimodal models modern ML architectures (transformers diffusion models etc.).
Expertise in imitation learning reinforcement learning tactile sensing and robotics learning.
Proficiency with one or more physical simulators (e.g. MuJoCo IsaacSim Drake PyBullet PhysX) and experience working in a deployed robotics environment.
Proficiency in Python and deep learning frameworks (e.g. PyTorch JAX).
Requires 5 days/week in-office collaboration with the teams. Bonus Qualifications
Expertise in large foundation models (VLM VLA etc).
Strong publication on top conferences in robotics manipulation.
Expertise in neural network deployment (e.g. TensorRT) and GPU programming with CUDA.
Proven ability to design scalable experimentation and data pipelines.
Familiarity with 3D computer vision and/or graphics pipelines Benefits
Competitive stock options/equity programs.
Health dental and vision insurance 401(k) plan.
Visa sponsorship and green card support for qualified candidates.
Lunches and dinners a fully stocked kitchen and regular team-building events.
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