Path Robotics

Path Robotics

Senior Machine Learning Engineer (Reinforcement Learning/World Model)

Columbus, Ohio or Remote · Senior

Sponsorship not specifiedDetected 78 days ago
PythonAlgorithmsMachine LearningDeep LearningPyTorchStatisticsRoboticsResearch

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

8 transfer filings in the last year, covering 8 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.

Responsibilities

  • Build action-conditioned world models that predict how the welding process evolves under changes to robot motion and process parameters.
  • Develop multimodal models using data such as video, 3D scans, thermal measurements, electrical signals, robot state, and process parameters.
  • Validate learned predictions against real-world welding data.
  • Develop offline, model-based, or constrained RL methods suitable for limited and expensive physical interaction.
  • Optimize across competing objectives such as weld quality, cycle time, reliability, energy use, and equipment constraints.
  • Design methods that account for uncertainty, distribution shift, delayed outcomes, and sparse or imperfect reward signals.
  • Partner with controls, welding, robotics, world-model, data, and ML infrastructure engineers.

Requirements

  • Experience with training and deploying ML models in production systems.

Benefits

  • Develop reinforcement learning approaches for optimizing welding decisions and process outcomes.
  • Senior ML Engineer, Reinforcement Learning
  • Master's or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience.
  • Experience developing and deploying reinforcement learning algorithms on real-world systems.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with simulation environments (e.g., MuJoCo, Isaac Gym).
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage

Company info

  • 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 HR@path-robotics.com. 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.
  • 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 HR@path-robotics.com.
  • 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.
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This listing is sourced directly from Path Robotics's careers page and normalized into a canonical job model.