Remote ML Engineer - Autonomous Driving Metrics & Evaluation

Aimlroles

Northern (KY)

Hybrid

USD 172,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Healthcare benefits
HSA/FSA available
Retirement plan with employer match
Parental leave

Job summary

May Mobility, headquartered in Ann Arbor, MI, is expanding its autonomous shuttle and mobility services nationwide. We seek ML-oriented Software Engineers with robotics/AV background to join the Autonomous Driving ML team, applying ML engineering concepts to measure, analyze and improve the performance of May's Autonomous Driving stack through data, metrics, evaluation and test/hillclimbing suites.

As part of our team, you will design ML metrics, build evaluation pipelines, and drive model

Qualifications

  • Bachelor's or Master's degree in Robotics, Computer Science, Statistics, or a related field.
  • Minimum of 2 years building evaluation, metrics, or data analysis systems for ML in production.
  • Proficiency in Python with Linux experience.
  • Familiarity with ML basics and perception/planning concepts in Autonomous Driving.

Responsibilities

  • Design and own ML metrics and evaluation pipelines for offline, simulation, and on-road performance.
  • Build test, regression and hillclimbing suites gating model releases and triaging regressions.
  • Drive model improvement through loss analysis, error mining, and data balancing for training/evaluation sets.

Skills

Python
Linux
Machine Learning
Data Analysis
Go
C++

Education

Bachelor's or Master's in Robotics/CS/Statistics

Tools

MLflow
Weights & Biases
Plotly
Grafana
Streamlit

Job description

May Mobility, headquartered in Ann Arbor, MI, is expanding its autonomous shuttle and mobility services nationwide. We seek ML-oriented Software Engineers with robotics/AV background to join the Autonomous Driving ML team, applying ML engineering concepts to measure, analyze and improve the performance of May's Autonomous Driving stack through data, metrics, evaluation and test/hillclimbing suites.

As part of our team, you will design ML metrics, build evaluation pipelines, and drive model

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