Principal Machine Learning Engineer
Mission Lane- Full Time
- Junior (1 to 2 years)
Candidates should possess a Master’s or Ph.D. in Computer Science or a related technical field, or equivalent industry experience. Proven leadership skills are required, demonstrating the ability to execute large, complex technical initiatives and manage and lead engineers. Extensive experience with deep learning frameworks such as TensorFlow or PyTorch, fluency in Python, including standard scientific computing libraries, and a proven track record of designing, developing, and deploying ML solutions for autonomous vehicles or robotics are necessary. Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods, is also required.
The Principal Engineer, Team Lead will define and execute motion planning and prediction projects to improve self-driving vehicles’ capabilities. They will lead, manage, and grow a team of engineers, design and lead the implementation of behavior models leveraging ML advancements, productionize and deploy solutions onto autonomous vehicle fleets, and collaborate with various teams to validate and enhance on-road performance. Furthermore, they will communicate strategies and progress to executive leadership.
Develops fully driverless robotaxis for urban transport
Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.