Path Robotics

Senior Machine Learning Engineer, Neural Simulators

Columbus, Ohio, USA · Senior · full-time

Sponsorship not specifiedDetected 42 days ago

PythonMachine LearningPyTorchMLOpsA/B TestingRoboticsResearchAdaptability

About the role

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.

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.
Partner closely with data and MLOps teams to support scalable training, evaluation, and deployment - while remaining comfortable owning pieces of the stack when needed.
Validate simulator performance against real-world robotic welding data and support sim-to-real transfer.
Build the Path Forward
At Path Robotics, we're 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.
It is research-heavy by design, while still grounded in production reality.

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.
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.

We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning.
Collaborate with reinforcement learning engineers by integrating the neural simulator into RL pipelines for policy training and evaluation.

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.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience.
We will respond to your request within 48 hours.

This listing is sourced directly from Path Robotics's careers page and normalized into a canonical job model.