Path Robotics

Staff Machine Learning Engineer, Perception

Rol remoto de Machine Learning Engineer con fit claro de ubicación del candidato.

Publicado19 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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.

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.

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!

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