May Mobility

Autonomous Driving

MachineLearningEngineerII-AutonomousDrivingPerformanceEvaluation

$172–210k Ann Arbor, Michigan, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Machine Learning Engineer II - Autonomous Driving Performance Evaluation at May Mobility. Skills: ML Engineering, Autonomous Driving, Performance Evaluation, Metrics and evaluation. Design ML metrics pipelines. Implement ML metrics pipelines”

Industry & Context.

Autonomous Driving
Problems you'll solve

Root cause analysis

Eligibility Requirements

Prolonged sitting, Prolonged standing, Prolonged computer use, 5-10% travel

What They're Looking For.

Must Have

Bachelor's or Master's degree, 2 years building evaluation systems, Python proficiency, Linux environments experience, Familiarity with ML concepts, Familiarity with Perception concepts, Familiarity with Planning concepts

Nice to Have

Proficiency in Go or C++, Familiarity with experiment tracking tooling, Familiarity with statistical methods, Familiarity with data mining at scale, Familiarity with visualization tools

What You'll Do.

Design ML metrics pipelines

Implement ML metrics pipelines

Own ML metrics pipelines

Design evaluation pipelines

Implement evaluation pipelines

Own evaluation pipelines

Implement test suites

Build regression suites

Maintain regression suites

Build hillclimbing suites

Maintain hillclimbing suites

Automate triage of regressions

Drive model improvement

Balance data for training

Cure data for training

Balance data for evaluation

Cure data for evaluation

How You'll Work.

Team & Collaboration

Autonomous Driving ML team

Full Job Description

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use ML Engineering concepts to measure, analyze and systematically improve the performance of May's Autonomous Driving stack through data, metrics, evaluation and test/hillclimbing suites. Essential Responsibilities Design, implement and own ML metrics and evaluation pipelines spanning offline model evaluation, simulation and on-road performance. Build and maintain test, regression and hillclimbing suites that gate model and stac

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