Machine Learning Engineer, Perception

🔥 12 hours ago

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Path Robotics

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🏗️ Construction

💼 Consulting

📦 Logistics

💰 $100M Series C on 2021-07

Construction • Consulting • Logistics

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

• Implement, validate, and iterate on machine learning algorithms for weld perception tasks, including point cloud registration, seam detection, and joint geometry estimation. • Build and maintain data pipelines for training and evaluating perception models, including annotated 3D scan data ingestion, synthetic data generation, and structured dataset management. • Run model evaluation experiments, failure mode analysis, FP/FN rate characterization, and benchmarking against quantitative registration accuracy thresholds. • Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed cell configurations. • Write clean, well-tested Python code; participate in code and experiment reviews; and document methods, parameters, and results. • Lead research, development, and production deployment of advanced perception algorithms across structured light, RGB, and stereo sensors. • Design and lead experiments evaluating state-of-the-art deep learning models, including transformer-based and geometric feature learning architectures. • Design and lead real-time perception systems, including during-weld seam tracking, using sensor fusion and probabilistic state estimation such as Kalman filtering. • Own the end-to-end ML lifecycle from dataset design and annotation strategy through training, benchmarking, and fleet deployment. • Architect distributed training and hyperparameter optimization workflows; drive data acquisition, annotation tooling, and synthetic versus real scan data strategy. • Mentor engineers across levels and provide technical leadership on perception systems and ML methodology.

🎯 Requirements

• Master's or Ph.D. in CS, Robotics, or related field (Computer Vision, ML, or Perception); Bachelor's with strong production ML experience also considered. • 3+ years (Experienced) / 7+ years (Senior/Staff) in real-world robotics or industrial ML. • Strong Python fluency and hands-on PyTorch experience, including training, evaluating, and deploying deep learning models in production. • Experience with 3D point cloud data and libraries such as Open3D, including geometric concepts like surface segmentation, spatial queries, and point-wise labeling. • Familiarity with 3D deep learning architectures such as PointNet++, GeoTransformer, or similar transformer-based or graph-based approaches on geometric data. • Comfortable integrating ML models into production robotics services within ROS-based architectures and containerized deployment environments. • Senior/Staff: Demonstrated track record leading end-to-end ML projects from dataset design through fleet deployment with rigorous go/no-go frameworks; experience architecting distributed training and hyperparameter optimization workflows.

🏖️ 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!

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