Staff Machine Learning Engineer, Perception jobs in United States
cer-icon
Apply on Employer Site
company-logo

Path Robotics · 17 hours ago

Staff Machine Learning Engineer, Perception

Path Robotics is building the future of embodied intelligence through AI-driven systems that enable robots to adapt, learn, and perform in the real world. As a Staff Machine Learning Engineer, you will lead the development of robotic welding solutions, utilizing your expertise in computer vision and deep learning to solve complex challenges in industrial applications.

Artificial Intelligence (AI)Big DataMachine LearningRobotics
check
Comp. & Benefits
check
H1B Sponsor Likelynote

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

Qualification

Machine LearningComputer VisionPythonDeep Learning3D Data ProcessingSensor FusionC++Technical LeadershipCollaboration

Required

Master's or Ph.D. in Computer Science, Robotics, or a related field with a focus on Computer Vision, Machine Learning, or Perception Systems
5+ years of experience in developing machine learning algorithms or applications for real-world robotics systems, particularly in industrial or manufacturing environments
Strong proficiency in Python, as well as experience with other relevant languages (e.g., C++), and a deep understanding of neural networks, deep learning architectures, and 3D data processing
Extensive experience with vision sensors (e.g., RGB, LiDAR, ToF) and demonstrated ability to apply sensor fusion techniques for perception tasks
A proven track record of leading projects and research initiatives, with the ability to bridge the gap between theoretical research and practical, deployable solutions
Enthusiastic about working in a fast-paced, dynamic startup environment, with the ability to influence company-wide technological direction and strategy

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!

Company

Path Robotics

twittertwittertwitter
company-logo
Path Robotics offers robotic welding systems to improve manufacturing efficiency.

H1B Sponsorship

Path Robotics has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (12)
2023 (12)
2022 (7)
2021 (6)
2020 (3)

Funding

Current Stage
Late Stage
Total Funding
$271M
Key Investors
Tiger Global ManagementAdditionDrive Capital
2025-11-24Undisclosed
2024-10-14Series D· $100M
2021-07-20Series C· $100M

Leadership Team

leader-logo
Andrew Lonsberry
CEO
linkedin
leader-logo
Caitlin Fiordirosa
Advisor
linkedin
Company data provided by crunchbase