Path Robotics

Machine Learning Engineer

• Lead the development and implementation of advanced algorithms for robotic perception systems tailored to industrial welding tasks, integrating data from diverse vision sensors such as RGB/GigE, LiDAR, and ToF depth sensors.
• Oversee research initiatives to address complex welding-related challenges, utilizing image processing, point cloud data, and 3D sensor fusion, contributing to innovative solutions for domain-specific problems.
• Collaborate with multidisciplinary teams to design and lead experiments evaluating state-of-the-art deep learning models, optimizing machine learning systems for robotic perception in welding.
• Stay at the forefront of advancements in Robotics, Computer Vision, and ML research, driving the integration of cutting-edge technologies into real-world applications, and ensuring these innovations have a high impact on production systems.
• Mentor and guide junior engineers, providing technical leadership and fostering collaboration to enhance team expertise in perception systems and machine learning.
• Contribute to strategic decisions about system architecture and the direction of robotics perception technologies within the company, ensuring alignment with product and business goals.

Staff Machine Learning Engineer, Perception

Lead Generation

• Own the day-to-day management of paid digital campaigns, primarily across LinkedIn and retargeting channels, including:
• Campaign setup, execution, optimization, and scaling
• Performance tracking against defined KPIs
• Budget management within clear guardrails and intended outcomes
• Continuously test and iterate on audiences, creative, and messaging to improve efficiency and pipeline contribution.
• Execute inbound demand programs, including:
• Landing pages and conversion flows
• Basic lead nurture campaigns
• Website content and campaign posting
• Ensure a seamless handoff from digital engagement to sales-ready leads.
• Partner with marketing leadership on positioning, messaging, and creative direction.
• Translate strategic messaging into testable digital ads and campaigns, moving beyond one-off blasts to repeatable programs.
• Develop and manage A/B testing frameworks to improve performance over time.
• Maintain a consistent reporting cadence that provides clear visibility into:
• Channel and campaign performance
• Ad-level efficiency and ROI
• Pipeline contribution by source
• Use data to inform optimization decisions and future campaign strategy.

Digital Lead Generation Manager

• 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.

Staff Machine Learning Engineer, Perception

Digital Lead Generation Manager

Senior Machine Learning Engineer, Neural Simulators