Machine Learning Engineer
Description For Machine Learning Engineer
Path Robotics is at the forefront of solving a trillion-dollar challenge in the industrial welding sector, addressing the critical shortage of skilled labor through innovative robotics and AI solutions. As a Machine Learning Engineer on our Weld Intelligence team, you'll be instrumental in developing cutting-edge AI-driven perception systems that enhance welding robots' capabilities in navigation, parameter regulation, and quality control.
The role combines advanced reinforcement learning, computer vision, and robotics engineering to create practical solutions for industrial applications. You'll work with state-of-the-art technologies and collaborate with cross-functional teams to design, test, and deploy AI solutions that push the boundaries of robotic precision in welding applications.
The ideal candidate brings a strong academic background (Ph.D. or Master's) in a relevant field, with demonstrated expertise in deep learning, reinforcement learning, and robotics. Your experience with simulation tools, programming languages like C++ and Python, and track record of publications at top conferences will be valuable assets.
At Path Robotics, we foster an inclusive environment where unique thinking is celebrated and ideas are valued. We offer comprehensive benefits including full medical coverage, generous parental leave, and daily free lunches. Join us in tackling big, challenging problems while working with a team that combines technical excellence with humility and supportiveness.
This role offers an opportunity to work on groundbreaking technology that has never been done before, making a significant impact on the manufacturing industry while being part of a collaborative and innovative team.
Responsibilities For Machine Learning Engineer
- Develop and deploy reinforcement learning algorithms for complex robotic tasks
- Develop vision-based perception systems for welding robots
- Develop and optimize RL-based methods for motion control and planning
- Collaborate with teams to integrate manipulation, control, and planning algorithms
- Conduct simulations and real-world testing
- Analyze and troubleshoot issues in robotic systems
- Stay updated with latest advancements in robotics and ML
Requirements For Machine Learning Engineer
- Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field
- Publication record at top conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoLR)
- Expertise in deep learning and reinforcement learning
- Strong programming skills in C++ or Python
- Experience with robotic simulation tools
- Understanding of control theory, kinematics, dynamics, and optimization
- Familiarity with sensors, actuators, and robotic hardware
- Track record of deploying autonomous robotic systems
- Excellent problem-solving skills
- Strong communication skills
Benefits For Machine Learning Engineer
- Free lunch every day
- Flexible PTO
- 100% coverage on monthly medical premiums for employee and dependents on select plans
- 12-14 weeks paid parental leave
- 401K through Empower
- Paid Referral Bonus
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