Path Robotics - Staff Machine Learning Engineer, Perception
Requirements
• Experience working with customers in the defense industry, including familiarity with regulated environments, government stakeholders, or defense contractors • Willingness to travel up to 30% to customer sites to build relationships, provide support, and gain a deep understanding of customer operations • Comfortable communicating technical concepts to non-technical audiences • Capable of negotiating with internal and external stakeholders at the executive level • Customer-obsessed and deeply invested in delivering measurable value through products and services • Excited by the opportunity to grow a book of business using modern monetization and expansion strategies • Detail-oriented and able to operate effectively in a fast-paced, evolving environment • Motivated by the opportunity to make an immediate impact at a venture-backed startup • Passionate, collaborative, and energized by working closely with cross-functional teams • The role may involve access to export-controlled information subject to ITAR and/or EAR. Candidates must be able to comply with U.S. export control regulations, which may include meeting the definition of a “U.S. Person” where required. • This position may also involve handling Controlled Unclassified Information (CUI) and requires adherence to company and federal data protection and confidentiality standards. Employment may be contingent upon successful completion of a background check consistent with applicable requirements
Responsibilities
• 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.
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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