Principal Engineer - Prediction

On our Behaviors team, you have the opportunity to work with world‑class ML engineers and research scientists whose mission is to make self‑driving vehicles a reality and to create positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios and predicting the future behavior of agents around our robo‑taxi. 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.

This opportunity can support remote work within the United States, with occasional travel.

You drive project‑level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. Daily, you will:

• Define and influence the direction of the team, organization, and/or department.
• Advise leaders on technology problems and solutions
• Connect and drive business impact through technology solutions
• Formulate problems, architect solutions, and design processes
• Prototype, evaluate, implement, and iterate on solutions
• Pioneer research into state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and grow junior and experienced engineers and researchers
• Help create and reinforce a culture of inclusion, innovation, and excellence

• BA, 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, Deep Learning algorithms, or ML Planning
• 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
• Effectiveness at leading and executing large, complex technical initiatives
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes

• 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

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity.

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional’s benefits program. 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.

Salary Range $211,000 — $283,900 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers,…