Powering generalist robotics and world models with multi-million-hour annotated egocentric data, hand tracking, upper-body/whole-body motion capture, tactile sensing, and simulation for OpenAI, Google DeepMind, Meta, Figure, 1X, Skild, Genesis AI, and Dyna... Backed by South Park Commons.
About the role
In this role, you will work on the research, training, optimization, and real-world deployment of embodied AI models , including Vision-Language-Action (VLA) models, World Models, and related robotics foundation models. You will work across multimodal perception, robot control, long-horizon task planning, large-scale robot data, and model deployment. This is a highly hands-on role that involves both model development and real-world robotic system integration . Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 1+ years of relevant industry or research experience in machine learning, robotics, computer vision, embodied AI, or a related field
- Strong understanding of deep learning and modern machine learning methods
- Experience with PyTorch or similar deep learning frameworks
- Experience training and evaluating machine learning models
- Strong programming skills in Python and familiarity with relevant ML/robotics tooling
- Understanding of multimodal learning, computer vision, robotics, or related areas
More about this role
In this role, you will work on the research, training, optimization, and real-world deployment of embodied AI models , including Vision-Language-Action (VLA) models, World Models, and related robotics foundation models.
You will work across multimodal perception, robot control, long-horizon task planning, large-scale robot data, and model deployment. This is a highly hands-on role that involves both model development and real-world robotic system integration .
Research and develop Vision-Language-Action (VLA), World Model, and other embodied AI foundation models .
Robotic manipulation
Multimodal perception and control
Long-horizon task planning
Vision-language-action reasoning
Robot-environment interaction
Develop and optimize models for real-world robotic applications.
Translate research ideas into practical models and systems that can operate reliably on physical robots.
Train and optimize embodied AI foundation models using large-scale real-robot datasets and egocentric human demonstration data .
Vision
Force
Tactile sensing
Proprioception
Other robot and environmental signals
Develop and evaluate multimodal fusion architectures.
Conduct model training, evaluation,...
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