Machine Learning Engineer, Perception (Robotics)

Location: Columbus, Ohio or remote within the United States

Company

hirify.global develops AI-driven robotic welding systems that combine perception, reasoning, and control for real-world industrial applications.

What you will do

• Implement, validate, and iterate on ML algorithms for weld perception, including point cloud registration, seam detection, joint geometry estimation, and real-time in-process tracking.
• Build data pipelines covering annotated 3D scan ingestion, synthetic data generation, dataset management, and model evaluation.
• Run experiments, analyze failure modes and false-positive/false-negative rates, and benchmark registration accuracy.
• Integrate trained models into low-latency, production ROS-based robotics services and deployed cell configurations.
• At Senior/Staff level, lead perception research, sensor fusion, ML lifecycle strategy, distributed training, hyperparameter optimization, and fleet deployment.
• Mentor engineers and provide technical leadership on perception systems and ML methodology.

Requirements

• Master’s or Ph.D. in computer science, robotics, or a related field such as computer vision, ML, or perception; a Bachelor’s degree with strong production ML experience is also considered.
• 3+ years of experience for Experienced roles or 7+ years for Senior/Staff roles in real-world robotics or industrial ML.
• Strong Python fluency and hands-on PyTorch experience training, evaluating, and deploying deep learning models in production.
• Experience with 3D point cloud data and libraries such as Open3D, including 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 for geometric data.
• Ability to integrate ML models into production robotics services using ROS-based architectures and containerized deployment environments.
• Senior/Staff candidates must have led end-to-end ML projects from dataset design through fleet deployment and must have experience with distributed training and hyperparameter optimization workflows.

Culture & Benefits

• Daily free lunch.
• Flexible PTO.
• Medical, dental, and vision coverage.
• Six weeks of fully paid parental leave, plus an additional 6–8 weeks for birthing parents.
• 401(k) retirement plan through Empower.
• Employee referral bonuses and an inclusive environment that values diverse ideas.