Senior Machine Learning Engineer – Neural Simulator
| Company | Path Robotics |
|---|---|
| Location | Remote in USA, Columbus, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Expertise in video generation, neural simulators, large-scale model training, and foundational model development
- Strong understanding of robotics and software engineering
- 5+ years of experience in machine learning, deep learning, and robotics applications
- Strong software engineering skills with expertise in Python and ML frameworks (JAX, PyTorch, TensorFlow)
- Experience with training video generation models
- Experience with training large models and relevant tooling and infrastructure
- Built and deployed modern AI robotics systems in an industry setting
- Contributed to open-source projects or publications in top-tier robotics/ML conferences
Responsibilities
- Give our robots a world model where they can learn and imagine
- Develop a multimodal neural simulator for manufacturing tasks
- Full stack AI engineering including but not limited to data pipelines, model training, and model deployment
- Design, train, and optimize large-scale models from scratch for robotic perception and control
- Stay up to date with advancement generative AI to improve the fleet performance
Preferred Qualifications
- Contributed to open-source projects or publications in top-tier robotics/ML conferences