Senior Machine Learning Engineer, Neural Simulators

🕒 January 8

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Path Robotics

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🔧 Hardware

💰 $100M Series C on 2021-07

Manufacturing • Artificial Intelligence • Hardware

Path Robotics is a company that specializes in advanced robotic welding systems designed to optimize manufacturing processes with precision and efficiency. They offer Robots-as-a-Service (RaaS), eliminating the need for significant upfront capital expenditure. Their AI-driven robotic systems learn and adapt to improve welding performance over time. Path Robotics' solutions are integrated seamlessly into existing production lines, working with materials like carbon steel, stainless steel, and aluminum. They cater to various industries, including transportation, manufacturing, and construction, providing unmatched precision and adaptability to help businesses achieve their production goals.

📋 Description

• 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.

🎯 Requirements

• 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 6–8 weeks for birthing parents (12–14 weeks total) • 401(k) retirement plan through Empower • Generous employee referral bonuses—help us grow our team!