Sr. Machine Learning Engineer, Prediction
Serve Robotics- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master’s or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They must have an in-depth understanding of common Machine Learning and Deep Learning algorithms, along with experience designing, training, and analyzing neural networks for applications such as object detection, semantic segmentation, visual classification, and motion prediction. Strong knowledge of software engineering principles, including software design, source control management, and testing methods is required, as well as fluency in Python and experience with PyTorch or other deep learning frameworks.
The Senior Machine Learning Engineer-Perception will drive project-level impact to enhance autonomous vehicle capabilities, formulate problems and design solutions, prototype and iterate on solutions, and produce and deploy solutions onto autonomous vehicle fleets. They will also collaborate with team members, mentor junior engineers, and influence the team's direction based on technology and business needs, while staying up-to-date with state-of-the-art solutions and systems for autonomous vehicles and deriving insights from large data sets.
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.