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 are seeking a highly skilled and motivated Machine Learning Engineer
for our Weld Intelligence team. This role is pivotal in developing advanced
AI-driven perception systems to support welding robots with navigation,
welding parameter regulation, and quality control. The ideal candidate will
have a robust background in reinforcement learning, model integration, and
real-world deployment. Working alongside cross-functional teams, you’ll
contribute to the design, testing, and deployment of innovative AI solutions
to enhance robotic precision in industrial welding applications.
What You’ll Do
- Work on the development and deployment of reinforcement learning (RL) algorithms to solve complex robotic tasks
- Develop vision-based perception systems tailored for welding robots, enabling navigation and regulation of welding parameters.
- Develop, optimize, and deploy RL-based methods for motion control and planning algorithms in industrial robotic cells.
- Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
- Conduct simulations and real-world testing to validate the performance of manipulation, control, and planning algorithms.
- Analyze and troubleshoot issues related to manipulation, motion control, and planning in robotic systems.
- Stay updated with the latest advancements in robotics, control theory, reinforcement learning, and planning algorithms.
Who You Are
- Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
- Proven track record in publishing at top conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoLR).
- Expertise in deep learning and reinforcement learning techniques.
- Strong programming skills in languages such as C++ or Python.
- Experience with robotic simulation tools (e.g., Isaac Sim, Gazebo, MuJoCo).
- Solid understanding of control theory, kinematics, dynamics, and optimization techniques for robotics.
- Familiarity with sensors, actuators, and robotic hardware components.
- Proven track record of deploying scalable solutions for autonomous robotic systems.
- Proven track record of publishing impactful work in the robotics field.
- Excellent problem-solving skills and the ability to work both independently and in a team environment.
- Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.
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 on select plans
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