Senior Machine Learning Engineer

Role Description

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

• Directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models.
• Designing and executing high value experiments based on collaborative input from other machine learning engineers.
• Prototyping and implementing 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.
• Staying up to date with the latest trends in our fast-moving industry, and proposing new architectures and network designs based on published literature.
• Maintaining a high-quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation.

Qualifications

• 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.

Requirements

• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience.

Bonus Points

• 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.

Working Conditions

• Frequently required to convey and detect communication.
• Occasionally required to remain stationary for up to 50% of working time, move in designated working areas, and operate and use office equipment.
• May occasionally move up to 50 pounds.

Salary Range

$146,000 — $225,000 USD

Benefits

• Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.