We're making driverless vehicles a safe, reliable, and accessible reality.

Principal Engineer – ML Planner

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 1,001-5,000Since 2020H1B SponsorCompany Site LinkedIn

Location

Massachusetts + 1 more

Posted

103 days ago

Salary

$211K - $283.9K / year

Bachelor DegreeEnglishPythonPy Torch

Job Description

• You drive project-level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. • 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

Job Requirements

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, Deep Learning algorithms, or ML Planning
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
Effectiveness at leading and executing large, complex technical initiatives
Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes.