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5 дней назад

Machine Learning Engineer (AI)

189 000 - 258 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Machine Learning Engineer (AI): Developing multi-modality foundation models for autonomous systems with an accent on aligning diverse data streams (Vision, LiDAR, Radar, Language, Audio). Focus on building efficient student models capable of real-time, on-vehicle inference through Knowledge Distillation.

Location: Foster City, CA / Boston, MA

Salary: $189,000 - $258,000 a year

Company

hirify.global is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.

What you will do

  • Build, pre-train, and evaluate large-scale multi-modality foundation models, aligning diverse data streams.
  • Define and execute the ML roadmap for deploying multi-modality representations to the vehicle.
  • Architect and implement Knowledge Distillation pipelines to compress large-capacity teacher models into efficient student models.
  • Build high-quality training and evaluation datasets, applying advanced data-centric techniques.
  • Collaborate with downstream perception teams to integrate and validate model performance in on-board production systems.

Requirements

  • MS or PhD in Computer Science, Machine Learning, or a related technical field with demonstrated professional experience.
  • Deep expertise in building and training large-scale multi-modality foundation models.
  • Strong understanding of cross-modal alignment, multi-modal attention mechanisms, and large-scale pre-training techniques.
  • Proven experience in Knowledge Distillation, model compression, and training highly efficient student models for production environments.
  • Proficiency in ML frameworks (e.g., PyTorch) and experience building large-scale ML training and evaluation pipelines.

Nice to have

  • Experience in the Autonomous Driving or robotics industry.
  • Experience with model deployment, optimization, and hardware constraints (e.g., C++ for inference, TensorRT, quantization, pruning).
  • Publications in top-tier conferences related to multi-modality foundation models, cross-modal learning, or model compression.

Culture & Benefits

  • hirify.global offers a comprehensive package of benefits, including paid time off, hirify.global Stock Appreciation Rights, Amazon RSUs, health insurance, and long-term and short-term disability insurance.

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