Motional

Senior Engineer (Autonomy – Perception & Prediction)

28 March 2024
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Deadline date:
£60000 - £112000 / year

Job Description

Work with our ML modeling teams who are responsible for developing and deploying image, lidar and radar-based perception for our self-driving vehicles. Research and develop neural networks for perception and prediction problems such as object detection, instance segmentation, classification, future motion prediction, sensor fusion, and traffic light detection. Develop clean software for the perception modules that sit at the core of our autonomous vehicle perception and interface with all other key modules such localization, mapping, and planning. Develop core deep learning codebase for efficient training and testing pipelines. Conduct deep learning experiments, write reports, and file patents. Position is fixed based in Venice, CA office; however, telecommuting from a home office location is allowed up to three (3) days per week. Salary: One Hundred Sixty-Eight Thousand to Two Hundred Forty-Four Thousand dollars. Requires a Master’s degree (or foreign equivalent) in Machine Learning, Computer Science, Robotics or a directly related field plus one (1) year of experience as a Research Engineer or related occupation. Experience must include: One (1) year of experience in the following (experience may be gained concurrently): Developing AV technologies as detection and tracking. Designing, training, and analyzing neural networks for at least one of the following applications: object detection, image segmentation, sensor fusion, or multitask learning. Understanding of common Machine Learning and Deep Learning algorithms for classification, regression, and clustering. Experience with Python. Experience with PyTorch or similar deep learning framework. Experience may be gained before, during, or after advanced degree issuance. 40 hours/week, 9:00am-5:00pm. Qualified applicants send resume to [email protected]. Req# LB2024VEN. 

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, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  

Scale up, not starting up.

Our team is behind some of the industry’s largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world’s first robotaxi pilot, and operation of the world’s longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Facebook, Instagram and YouTube.

 

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.