Senior Machine Learning Engineer

Summary

Join Motional and contribute to the development of self-driving vehicles. Work alongside leading ML engineers and research scientists to build the technology stack for understanding complex driving scenes and generating safe driving trajectories. You will be responsible for training, evaluating, and deploying ML-based models for scene understanding, behavior prediction, and planning. This role requires in-depth knowledge of machine learning and deep learning algorithms, experience with neural networks, and strong software engineering skills. The position offers the possibility of remote work within the United States and a competitive salary.

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: motion planning, object detection, sensor fusion, 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, and testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Experience mentoring and collaborating with others
• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Responsibilities

• Design and execute high value experiments based on collaborative input from other machine learning engineers
• Prototype and implement continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Stay up to date with the latest trends in our fast moving industry, and propose new architectures and network designs based on published literature
• Maintain a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation

Preferred Qualifications

• 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

• This opportunity can support remote work within the United States, with occasional travel
• Medical, dental, vision
• 401k with a company match
• Health saving accounts
• Life insurance
• Pet insurance
• This role may include additional forms of compensation such as a bonus or company equity