Назад
Company hidden
18 часов назад

Machine Learning Engineer (Autonomous Driving)

172 000 - 210 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Machine Learning Engineer (Autonomous Driving): Building and maintaining evaluation pipelines and analytics frameworks for autonomous driving stacks with an accent on data-centric ML methods and performance metrics. Focus on designing quantitative signals, error mining, and automating regression testing to improve model reliability in production.

Location: Must be based in the USA

Salary: $172,000 - $210,000 USD

Company

hirify.global is an autonomous vehicle technology company transforming cities by deploying shuttle services that bridge public transit gaps and improve urban accessibility.

What you will do

  • Design and own ML metrics and evaluation pipelines for offline, simulation, and on-road performance.
  • Build and maintain test, regression, and hillclimbing suites to gate model releases.
  • Perform automated triage of regressions to identify root causes.
  • Drive model improvements through loss analysis, error mining, and data curation strategies.
  • Develop analytics frameworks for dataset slicing, result aggregation, and dashboarding.

Requirements

  • Must be based in the USA
  • Bachelor's or Master's degree in Robotics, Computer Science, Statistics, or a related field.
  • Minimum of 2 years of experience building evaluation, metrics, or data analysis systems for ML in production.
  • Proficiency in Python (NumPy/Pandas) and experience working in Linux environments.
  • Familiarity with ML fundamentals and basic Perception and Planning concepts in Autonomous Driving.

Nice to have

  • Proficiency in Go or C++.
  • Experience with experiment tracking tools like MLflow or Weights & Biases.
  • Familiarity with statistical methods for A/B testing and noisy-metric analysis.
  • Experience with data mining at scale and visualization tools like Grafana or Streamlit.

Culture & Benefits

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans.
  • Rich retirement benefits with an immediately vested employer safe harbor match.
  • Flexible vacation policy and paid company holidays.
  • Generous paid parental leave with a phased return-to-work program.
  • Total Wellness Program providing resources for overall wellbeing.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →