Motional is looking to solve the technical problem of making self-driving vehicles a reality and creating positive social impact by developing Level 5 autonomous driving technology
Requirements
- In-depth understanding of common Machine Learning and Deep Learning algorithms
- Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience
- Experience with PyTorch or other deep learning frameworks
- Experience working with large data sets and deriving insights from data
- Experience mentoring and collaborating with others
Responsibilities
- Helps define and influence the direction of the team based on technology and business needs
- Connect and drive project level impact through technology solutions
- Formulate problems, architect solutions, and design processes
- Prototype, evaluate, implement, and iterate on solutions
- Familiar with state of the art solutions and systems for autonomous vehicles
- Productionize and deploy solutions onto autonomous vehicle fleets
- Collaborate with other team members and grow junior engineers
Other
- Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
- Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
- Occasional travel within the United States
- Ability to convey and detect communication
- Ability to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment
