Senior Machine Learning Engineer

Summary

Join Motional's Perception Team and contribute to the development of self-driving vehicles. You will work alongside leading ML engineers and research scientists to build the technology that perceives dynamic scenarios and predicts future behavior of agents around robo-taxis. This role requires a strong background in machine learning and deep learning, with experience in neural network design and analysis. You will be responsible for defining team direction, architecting solutions, prototyping, implementing, and deploying solutions onto autonomous vehicle fleets. The position offers opportunities for collaboration, mentorship, and career growth within a fast-growing company. Remote work within the United States is supported.

Requirements

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• 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
• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• 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

• Help 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

Preferred Qualifications

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles, or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming

Benefits

• Remote work within the United States, with occasional travel
• Medical, dental, vision
• 401k with a company match
• Health saving accounts
• Life insurance
• Pet insurance
• Bonus or company equity