PERCEPTION INTERN

On our Perception and Prediction 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.

WHAT YOU'LL BE DOING:

You will drive project level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. On a daily basis, you will:

• 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, sensor fusion, traffic light detection, etc.

• 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

WHAT WE'RE LOOKING FOR:

• 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 and Deep Learning algorithms

• 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

• 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, 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

• Experience mentoring and collaborating with others

BONUS POINTS:

• 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

$35 - $55 USD

Motional has been revolutionizing driverless technology for decades. Our DNA — a joint venture between automotive technology expert Aptiv and vehicle manufacturing leader Hyundai Motor Group — uniquely positions us to fundamentally change the way the world moves. Do you want to be part of shaping the future of mobility?