Computer Vision Machine Learning Engineer at Path Robotics

Build the Path Forward

At Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another. 

We're seeking a passionate individual to join our team at the intersection of welding science and artificial intelligence. As a Computer Vision/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.

What You’ll Do

• Develop and implement algorithms for robotic perception tailored for welding tasks, utilizing various vision sensors such as RGB/GigE, LiDAR, ToF depth sensors, and more.
• Participate in research initiatives to address welding-related challenges using image and point cloud data, and contribute to solving domain-specific welding problems.
• Collaborate with teams to design and conduct experiments to evaluate deep neural networks and machine learning systems, focusing on deep learning techniques.
• Stay updated on the latest advancements in Robotics, Computer Vision, and ML research, and contribute to integrating relevant technologies into our projects.

Who You Are

• Bachelor’s or Master’s degree in Computer Science, with a focus on Computer Vision and Machine Learning, or relevant practical experience.
• Experience in developing machine learning algorithms or applications, with exposure to real-world projects.
• Familiarity with Python programming and a strong foundation in neural networks and data-driven models.
• Enthusiastic about joining a dynamic start-up environment and making a meaningful impact.

Best way to stand out:

• Contributed to top conference publication (e.g. CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML)
• Demonstrated interest in the field through personal projects or internships.
• Exposure to C++ and ROS 

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Why You'll Love It Here

• Free lunch every day
• Flexible PTO
• Medical, Dental and Vision insurance with 100% coverage on monthly medical premiums for you and any dependents (nothing comes out of your paycheck!)
• 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the
  birthing parent (12-14 weeks total)
• 401K through Empower
• Paid Referral Bonus