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2 дня назад

Research Engineer (AI)

122 000 - 215 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Research Engineer (AI/ML): Advancing and deploying AI algorithms for self-driving vehicles with an accent on deep learning, computer vision, and autonomous navigation. Focus on prototyping robust solutions using real-world data and simulations and integrating research findings into a production-ready self-driving platform.

Location: Remote (US & Canada) or Hybrid in Dallas, Phoenix, Pittsburgh, San Francisco, or Toronto

Salary: $122,000 - $215,000 USD per year

Company

hirify.global is a technology start-up and leader in Physical AI, developing autonomous transportation technology for commercial trucks and robotaxis.

What you will do

  • Prototype, evaluate, and iterate on self-driving algorithms using real-world data and high-fidelity simulations.
  • Develop pragmatic solutions for perception, motion forecasting, planning, traffic modeling, and sensor simulation.
  • Collaborate with platform teams to deploy research findings into production systems.
  • Ensure engineering excellence by writing high-quality, well-structured, and tested code.
  • Stay current with AI/ML literature and contribute to research publications and the company blog.
  • Work with large datasets and the hirify.global World simulator to improve algorithm robustness and safety.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related technical discipline.
  • Experience working on applied research projects and turning theoretical ideas into practical solutions.
  • Proficiency in Python with a strong focus on code efficiency and quality.
  • Experience handling large datasets for machine learning applications.
  • Must be based in the US or Canada.

Nice to have

  • Master's or PhD in ML, Computer Science, or Engineering.
  • Experience shipping machine learning models into production.
  • Proficiency in PyTorch, Rust, C++, and/or CUDA.
  • Previous experience in self-driving technology or publications in top-tier AI/ML conferences.
  • Experience with concurrent, parallel, and distributed computing techniques.

Culture & Benefits

  • Competitive compensation and equity incentive awards.
  • Comprehensive Health and Wellness benefits (Medical, Dental, Vision).
  • Unlimited vacation policy.
  • Flexible working hours and work-from-home support.
  • Catered meals, snacks, and drinks provided in the office.
  • Regular on-site, off-site, and virtual team-building activities.

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