Principal Machine Learning Engineer
Mission Lane- Full Time
- Junior (1 to 2 years)
Candidates should possess a Bachelor’s degree, Master’s degree, or a PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They should have an in-depth understanding of common Machine Learning and Deep Learning algorithms, and experience designing, training, and analyzing neural networks for applications such as object detection, semantic segmentation, visual classification, motion recognition, sensor fusion, and motion prediction. Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods is required, along with fluency in Python and experience with PyTorch or other deep learning frameworks.
As a Principal Engineer, the individual will define and influence the direction of the team, organization, and/or department, advise leaders on technology problems and solutions, formulate problems, architect solutions, design processes, prototype and iterate on solutions, pioneer research into state-of-the-art solutions, produce and deploy solutions onto autonomous vehicle fleets, mentor and grow engineers and researchers, and help create a culture of inclusion, innovation, and excellence. They will also drive project-level impact to make autonomous vehicles operate at superhuman capabilities and connect and drive business impact through technology solutions.
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.