Senior Machine Learning Engineer, Neural Simulators
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Job Location:
Columbus, NE - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Build the Path Forward
At Path Robotics were building the future of embodied intelligence. Our AI-driven systems enable robots to adapt learn and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods combining perception reasoning and control to deliver field-ready AI that is risk-aware reliable and continuously improving through real-world use.
Big hard problems are our everyday work and our team of intelligent humble and driven people make the impossible possible together.
Manufacturing demands exceptionally high performance reliability and adaptability. Processes like welding involve fast complex and poorly modeled physics that traditional simulators struggle to capture - especially in the long tail of real-world conditions.
We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning. Our goal is to give robots the ability to learn predict and plan in complex manufacturing environments by replacing or augmenting classical physics simulators with fast high-fidelity learned ones.
We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator - a learned world model that captures the visual and physical dynamics of welding and enables large-scale RL training. This role sits at the intersection of generative modeling robotics and applied physics. It is research-heavy by design while still grounded in production reality.
What Youll Do
- 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.
Who You Are
- 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 youre willing to context-switch when the team needs it.
A Note on Background
We do not expect prior welding experience. We do expect comfort modeling complex physical systems from data reasoning about failure modes and iterating toward accuracy under real-world constraints.
Why This Role
- Youll help define the core learning infrastructure that underpins our robotic systems
- Youll have space to pursue research tracks that run in parallel with production development.
- Youll work on problems where success is measurable in the physical world - not just benchmarks.
- Youll join a team that values depth ownership and adaptability over narrow specialization.
Why Youll Love Working Here
- 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 bonuseshelp us grow our team!
Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.
Required Experience:
Senior IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Discover Path Robotics' cutting-edge robotic welding systems. Transform your manufacturing with our innovative, AI-driven welding technology.
