Senior/Principal Machine Learning Engineer - Perception & Behaviors
Remote U.S.
On our Perception and 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.
What You’ll Be Doing:
You drive project-level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. Daily, you will:
Senior Engineer:
- Prototype, evaluate, implement, and iterate on solutions
- Familiar with state of the art solutions and systems for autonomous vehicles
- Productionize and deploy solutions onto autonomous vehicle fleets
- Collaborate with team members to achieve project goals and milestones
Principal Engineer:
- 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
What We’re Looking For:
- 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 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
- 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
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Occasional travel United States
Benefits/PerksBenefits program Bonus Career growth Company equity Dental Equity Health saving accounts Life Insurance Medical Occasional travel Pet Insurance Remote work Vision
Tasks- Architect solutions
- Code reviews
- Collaborate with team
- Collaborate with team members
- Define team direction
- Deploy solutions
- Mentor engineers
- Productionize and deploy solutions
- Prototype solutions
Algorithms Autonomous driving Autonomous Vehicles C++ Classification Computer Vision CUDA Data analysis Deep Learning Innovation Instance segmentation Machine Learning Mentoring ML Motion prediction Motion recognition Multi-object tracking Multitask learning Neural Networks Object detection Programming Python PyTorch Robotics Segmentation Semantic segmentation Sensor Fusion Software design Software Engineering Statistics Testing Tracking Visual classification
Experience5 years
EducationApplied mathematics B.A. Computer Science Computer Vision Engineering Equivalent Equivalent industry experience Machine Learning Master's Ph.D. Physics Related Field Robotics Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9