Job Description

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

This role offers the opportunity to join the Perception team at Motionless, working with world-class ML engineers and research scientists to develop technology for self-driving vehicles. The team focuses on perceiving dynamic scenarios and tracking objects around robo-taxis. The position involves participating in the full machine learning development cycle, deploying models on edge devices, and optimizing training workflows.

Requirements

• Education: Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field; or equivalent industry experience.
• Experience: 3+ years of experience with deep learning frameworks such as Pytorch.
• Programming Skills:
  • Strong programming skills in C++, TensorRT, and/or CUDA programming.
  • Fluency in Python, including standard scientific computing libraries and Python bindings development experience.
• Track Record: Proven track record of developing and deploying perception systems for autonomous vehicles or robotics.
• Knowledge: Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods.

Responsibilities

• Participate in the full machine learning development cycle, including data preprocessing, model training, evaluation, and deployment.
• Productionize and deploy large perception models on edge devices with optimization techniques (e.g., pruning, quantization).
• Optimize training with large data and distributed machines.
• Collaborate with cross-functional teams to implement scalable solutions and improvements.
• Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance.

Bonus Points

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry.

Company Information

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. The company is committed to building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. The team is comprised of engineers, researchers, innovators, dreamers, and doers, creating technology with the potential to transform transportation. The mission is to create first-of-its-kind technology that will transform transportation. To do so successfully, they must design for everyone in their cities and on their roads.