Principal Machine Learning Engineer- Perception

On our Perception 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 a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges,  and interested in pursuing career growth with a fast-growing company. What You’ll Be Doing: Lead the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data Connect and drive business impact through technology solutions  Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system Optimize perception algorithms for real-time performance on embedded hardware Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems Productionize and deploy solutions onto autonomous vehicle fleets Derive good insight from large data sets from a variety of sources Mentor and guide junior engineers on the team What We’re Looking for: Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience Strong leadership skills at executing large, complex technical initiatives In-depth understanding of common Machine Learning and Deep Learning algorithms Experience with 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, multi-object tracking, and/or end-to-end perception Experience with deep learning frameworks such as TensorFlow or PyTorch Fluency in Python, including standard scientific computing libraries and Python bindings development experience Proven track record of developing and deploying perception systems for autonomous vehicles or robotics Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods  Excellent communication and interpersonal skills Experience mentoring and leading others Bonus Points: Experience with embedded systems and real-time optimization, especially in the autonomous driving industry Experience with launching ML products from ideation Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.) 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 $199,000 — $266,500 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, 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 u