Note: The job is a remote job and is open to candidates in USA. Path Robotics is building the future of embodied intelligence with AI-driven systems that enhance robotic capabilities. They are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator, focusing on creating models that predict and plan in complex manufacturing environments.
Responsibilities
- Build a learned world model of the welding process that predicts future system behavior under robot actions
- Develop multimodal neural simulators incorporating signals such as 3D scans, video, thermal data, and electrical measurements
- Design, train, and evaluate large-scale generative or dynamics models (e.g., video prediction, latent world models, 3D or spatiotemporal representations) capable of long-horizon rollouts
- Collaborate with reinforcement learning engineers by integrating the neural simulator into RL pipelines for policy training and evaluation
- Run research tracks in parallel with production development, including hypothesis-driven experimentation and ablation
- Partner closely with data and MLOps teams to support scalable training, evaluation, and deployment - while remaining comfortable owning pieces of the stack when needed
- Translate research prototypes into robust, maintainable production code when they prove valuable
- Validate simulator performance against real-world robotic welding data and support sim-to-real transfer
Skills
- Experience building and deploying ML systems for robotics or other complex physical processes in real-world settings
- Hands-on experience with world models, learned simulators, video generation, 3D modeling, or dynamics prediction
- Comfortable training large models from scratch and working with the tooling and infrastructure required to scale experiments
- Enjoy working with messy, real-world data and are pragmatic about imperfect ground truth
- Strong software engineer with solid Python skills and experience in frameworks such as PyTorch or JAX
- You are excited by a role that blends research depth with practical impact, and you're willing to context-switch when the team needs it
Benefits
- Daily free lunch to keep you fueled and connected with the team
- Flexible PTO so you can take the time you need, when you need it
- Comprehensive medical, dental, and vision coverage
- 6 weeks fully paid parental leave, plus an additional 68 weeks for birthing parents (1214 weeks total)
- 401(k) retirement plan through Empower
- Generous employee referral bonuses92help us grow our team!
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