Machine Learning Engineer • Senior

Who you are

You have a Master's or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field — your academic background has equipped you with a strong foundation in the principles of machine learning and computer vision. You possess extensive experience in developing and implementing advanced perception algorithms for object detection, tracking, classification, and segmentation using various sensor data including camera, lidar, and radar. Your passion for Level 4 autonomous driving technology drives you to tackle intellectual challenges and pursue career growth in a fast-growing company.

You are well-versed in sensor fusion algorithms — you understand how to combine data from multiple sensors to create a robust and accurate perception system. Your expertise in optimizing perception algorithms for real-time performance on embedded hardware is complemented by your ability to derive insights from large datasets. You enjoy mentoring and guiding junior engineers, sharing your knowledge to help them grow in their careers.

Desirable

Experience with productionizing and deploying machine learning solutions onto autonomous vehicle fleets is a plus. Familiarity with the latest research and advancements in machine learning and computer vision will help you stay ahead in this rapidly evolving field. You are excited about the opportunity to collaborate with world-class ML engineers and research scientists, contributing to the mission of making self-driving vehicles a reality.

What you'll do

In this role, you will lead the development and implementation of advanced perception algorithms that are critical for the operation of our robo-taxi technology. You will connect and drive business impact through innovative technology solutions, ensuring that our perception systems are integrated into larger autonomous systems effectively. Your work will involve designing and implementing sensor fusion algorithms that enhance the accuracy and reliability of our perception capabilities.

You will optimize perception algorithms for real-time performance on embedded hardware, ensuring that our systems can operate efficiently in dynamic environments. Collaboration is key — you will work closely with other engineers and teams to integrate perception systems into our autonomous vehicle fleets. Staying abreast of the latest research and advancements in machine learning and computer vision will be part of your routine, allowing you to apply cutting-edge techniques to real-world problems.

Your role will also involve productionizing and deploying solutions onto our autonomous vehicle fleets, ensuring that they operate seamlessly in real-world scenarios. You will derive valuable insights from large datasets, leveraging your analytical skills to inform decision-making and improve system performance. Mentoring and guiding junior engineers will be an important aspect of your responsibilities, as you help cultivate the next generation of talent in the field.

What we offer

At Motional, you will be part of a team that is dedicated to creating a positive social impact through technology. We celebrate diversity and are committed to creating an inclusive environment for all employees. You will have the opportunity to work with a talented group of professionals who are passionate about advancing autonomous driving technology. We encourage you to apply even if your experience doesn't match every requirement — your enthusiasm and willingness to learn are just as important as your technical skills.