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5 дней назад

Senior Machine Learning Engineer (LLM/VLM)

213 000 - 263 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (LLM/VLM): Architecting and training large-scale onboard multimodal perception models for autonomous driving with an accent on vehicle safety and regulatory compliance. Focus on designing custom architectures for complex long-tail scenarios and optimizing models for real-time compute constraints.

Location: On Site in Mountain View, California

Salary: $213,000—$263,000 USD

Company

hirify.global is an autonomous driving technology company building the hirify.global Driver to improve mobility and safety through fully autonomous ride-hailing services.

What you will do

  • Architect and train large-scale, onboard ML perception models essential for vehicle safety and regulatory compliance.
  • Engineer robust, high-reliability training pipelines through cross-functional collaboration in a rapid-delivery environment.
  • Design novel, custom architectures from first principles to solve complex perception challenges using deep computer vision expertise.
  • Support the growth of junior engineers and contribute to a high-performing, collaborative team culture.

Requirements

  • BS or MS in Computer Vision, Machine Learning, Robotics, or a related field.
  • 4+ years of applied industry experience in autonomous vehicles, robotics, or complex ML systems.
  • Fluency in Python or C++ with deep hands-on expertise in PyTorch or Jax.
  • Proven experience with model distillation frameworks and quantization techniques for real-time compute constraints.
  • Demonstrated experience building, training, or deploying Multimodal Foundation Models or Vision-Language Models (VLMs).
  • Must be able to work on-site in Mountain View, California.

Nice to have

  • PhD in Computer Vision, Machine Learning, Robotics, or a related field.
  • Experience with large-scale distributed training, PEFT, or RLHF for Foundation Models and VLMs.
  • Expertise in long-context temporal reasoning for sequential decision-making or complex video understanding.
  • First-author publications in premier conferences such as CVPR, NeurIPS, ICCV, or ECCV.

Culture & Benefits

  • Eligibility for discretionary annual bonus program and equity incentive plan.
  • Generous company benefits program.
  • Opportunity to work on a world-leading autonomous driving system with over 100 million miles of public road experience.
  • Collaborative environment that values diverse skill sets and backgrounds.

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