Staff Machine Learning Engineer, Path Robotics
Perception
Fully autonomous welding robots
Open for applications
Fully autonomous welding robots
101-200 employees
Open for applications
101-200 employees
Company mission
To enable robots to build, so humans can create.
Role
Who you are
- 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
What the job involves
- We're seeking a passionate individual to join our team at the intersection of welding science and artificial intelligence
- As a Staff Machine Learning Engineer, you'll be instrumental in developing robotic welding solutions
- You'll use your skills in computer vision, deep learning, and Python programming to tackle challenges in our field alongside our talented teams
- 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
Our take
When it comes to the development and implementation of AI, America leads the way. Yet in manufacturing, it's falling behind. The shortage of factory workers is indeed an ongoing crisis, which is why Path Robotics looks to address these issues with its fleet of robotic systems that help to fill gaps in the manufacturing industry.
Path Robotics combines computer vision, artificial intelligence and machine learning to create robots that can help fit and weld parts in factories. For example, its AF1 Welding Robot can pick, fit and weld small parts, continuously improving and adapting to factory conditions. This allows human workers to focus less on menial tasks in the construction line.
An important factor of the company's approach is the minimized need for oversight, thus freeing up workers for other jobs. Path Robotics' prescient solution to a critical problem has helped it raise massive amounts of funding to date, helping to solidify its position. It has also signed an R&D deal with the nation's largest shipbuilder, where its robots will help build US Navy vessels.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Oct 2024
$100m
SERIES D
Jul 2021
$100m
SERIES C
Total funding: $271m
Company benefits
- Unlimited PTO
- Parental leave – 100% pay for 8 weeks
- Medical, Dental and Vision Insurance
- 401 (K) Retirement Savings Plan
- Early stage equity
- Mental and Physical Wellness Stipend
- Daily Lunch Stipend
Company HQ
Brookhollow, Columbus, OH
Leadership
Andrew Lonsberry
(Co-Founder & CEO)Previously a Graduate Teaching Assistant at Case Western Reserve University and a Robotics Engineer Intern at IHMC.
Alex Lonsberry
(Co-Founder & CEO)Previously a Teaching Assistant at Case Western Reserve University and an Engineering Intern at Horsburgh & Scott.
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