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6 дней назад

Director, Data Science (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Director, Data Science (AI): Leading the team responsible for transforming fleet, simulation, and ML data into insights to make autonomous services safer and more scalable with an accent on ML evaluation and fleet operations analytics. Focus on scaling data science functions in hard-tech environments and bridging the gap between research-grade and production-grade ML.

Location: Ann Arbor, MI (Onsite)

Company

hirify.global develops and deploys autonomous vehicles powered by innovative Multi-Policy Decision Making technology to create safer and more accessible urban transit.

What you will do

  • Set and own the data science strategy across simulation, synthetic data, ML evaluation, and fleet operations analytics.
  • Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers.
  • Partner with Engineering, Product, Safety, and Operations leaders to define release criteria and performance metrics.
  • Drive end-to-end ML applications, including dataset curation, scenario coverage, and continuous monitoring of fleet performance.
  • Establish measurement and experimentation standards, such as A/B-style comparisons in simulation.
  • Represent the company's data science work externally through publications and conference talks.

Requirements

  • 8+ years of industry experience in data science, machine learning, or applied research.
  • 4+ years of experience managing senior individual contributors and front-line managers.
  • Direct experience leading ML work in autonomous vehicles, ADAS, robotics, or large-scale computer vision systems.
  • Track record of leading teams of 10+ through major production launches or ODD expansions.
  • Strong programming skills in Python and familiarity with PyTorch or TensorFlow.
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Physics, Robotics, or a related quantitative field.

Nice to have

  • Master's or PhD in a quantitative field.
  • Experience with sim-to-real transfer or scenario-based evaluation for AV/robotics.
  • Familiarity with safety-case construction and regulator engagement.
  • Publications in top-tier venues such as NeurIPS, ICML, CVPR, ICRA, or RSS.
  • Experience with C/C++ systems and GPU programming.

Culture & Benefits

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

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