Назад
Company hidden
52 минуты назад

Senior Data Scientist (AI)

209 700 - 266 800$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
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
Senior Data Scientist (AI): Developing metrics, experiments, and analytical insights for the Wayve AI Driver using real and simulated driving data with an accent on statistical evaluation, production SQL, and machine learning analysis. Focus on investigating model training and inference bottlenecks, validating hypotheses, and influencing engineering priorities for safe and high-performing autonomous driving.

Location: Sunnyvale, California, United States; hybrid

Salary: $209,700–$266,800 per year, plus equity.

Company

hirify.global develops embodied AI software and foundation models for mapless, hardware-agnostic autonomous driving systems.

What you will do

  • Partner with AI engineering teams to develop actionable insights for improving the hirify.global AI Driver.
  • Formulate and refine performance metrics that guide engineering progress and commercial outcomes.
  • Design experiments and targeted off-road measurements using real and simulated driving data.
  • Investigate model training and inference factors that create functionality and performance bottlenecks.
  • Identify and validate hypotheses that unlock improvements in safety, performance, and product functionality.
  • Communicate findings clearly and influence team direction, prioritization, and strategy.

Requirements

  • 3+ years of experience in a Data Science role.
  • Advanced SQL skills, including production-level queries and large data-transformation pipelines.
  • Experience designing robust real-world experiments, such as A/B tests, and critically evaluating test statistics.
  • Strong foundations in statistical distributions, frequentist testing assumptions, and hypothesis evaluation.
  • Proficiency in Python or R and relevant data science and statistical packages.
  • Ability to work asynchronously across time zones and collaborate with cross-functional partners.

Nice to have

  • Practical machine learning experience, including PyTorch, and an interest in taking research ideas to production.
  • Experience with causal inference, econometric techniques, or Bayesian methodologies.
  • Experience processing large datasets with distributed computing technologies such as Spark or Hadoop.
  • Experience in a fast-moving technology company or startup.

Culture & Benefits

  • Full-time employment with a competitive equity package.
  • Hybrid work combining time in offices and workshops with work from home.
  • Core working hours with flexibility to determine a suitable schedule.
  • Inclusive, diverse, and respectful working environment.
  • Interview accommodations are available upon request.

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 →