Engineer (Autonomy – Perception & Prediction)
Venice, California, United States
Applications have closed
Motional
Motional harnesses deep industry experience in our mission to develop and deploy autonomous vehicles and to make driverless technology safe and reliable.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, traffic light detection, and more. 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 as 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 location based in Venice office; however, telecommuting from a home office may also be allowed 100% of the time. Requires a Master’s degree in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a directly related field plus one (1) year of experience designing perception Algorithms for self-driving vehicles. Must have one (1) year of experience in the following (experience may be gained concurrently): Designing, Training, and Analyzing neural networks for at least one of the following applications: object detection, image segmentation, sensor fusion, multitask learning, traffic light detection, active learning, or one-shot learning. Utilizing common machine learning and deep learning algorithms. Python. Pytorch or TensorFlow. C++ or Cuda programming. 40 hours/week, 9:00am-5:00pm, Salary: One Hundred Forty-Two Thousand to Two Hundred Six Thousand Dollars / year. Please send your resume to jean.curley@motional.com Req#SM2024VEN.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Computer Science CUDA Deep Learning Lidar Machine Learning Mathematics Physics Pipelines Python PyTorch Radar Research Statistics TensorFlow Testing
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