Are you passionate about designing and deploying innovative perception algorithms for autonomous robots? Collaborative Robotics is seeking a Machine Learning Engineer to join our Perception team. This role is perfect for engineers enthusiastic about pioneering software that drives robust and adaptable robot perception in real-world environments.

Join us to reimagine the future of human-robot interaction.

Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.

This role is located at our Santa Clara, CA headquarters or Seattle, WA office.

Key Responsibilities:

• Develop and maintain perception software for our robot, encompassing both offline training and runtime inference.
• Investigate the latest perception related research and find applications for our robot platform and use cases.
• Apply cutting edge techniques and foundation models to enhance our online and offline perception workflows.
• Leverage both 2D and 3D sensors to enable our robot to do real work in the physical world.
• Collaborate with teams across the entire robotics stack and work closely together to define requirements of on robot perception capability.

Minimum Qualifications:

• Bachelor’s in Computer Science or related field.
• Participation in 1-2 relevant industry internships.
• Experience with deep learning frameworks such as Pytorch, Tensorflow, etc.
• Experience working with point clouds, depth images, and other types of 3D data.
• Experience with perception for robotics, autonomous vehicles, or other real world applications.
• Proficiency with Git, version control, and Linux environments.
• Skilled in Python
• Highly motivated teammate with excellent oral and written communication skills.
• Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team.
• Willing to occasionally travel.
• Must have and maintain US work authorization.
• Must be able to start full-time work in January 2025.

Preferred Qualifications:

• Master’s Degree in Computer Science, AI, Robotics or related field.
• Skilled in C++.
• Experience deploying ML models on edge or other compute constrained environments.
• Experience using simulation to generate synthetic datasets.
• Experience with different labeling for computer vision problems such as object detection, classification, and segmentation.
• Experience with ML development platforms such as Weights and Biases or Neptune.
• Familiarity with ROS, ROS2 or other robotics platforms.
• Experience maintaining large, versioned data sets for different computer vision tasks.
• Ability to develop on cloud infrastructure and utilize cloud GPUs for training.
• Familiarity with Docker and containerization.

The base salary range for this position is $170,000 - $180,000 plus equity and comprehensive benefits. Our salary ranges are determined by role and experience level. The range reflects the minimum and maximum target for new hire salaries for the position inclusive of all locations within the United States. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.