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12 часов назад

Engineering Intern (AI)

15 962$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
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

Engineering Intern (AI): Developing and optimizing embodied foundation models for automated driving with an accent on multimodal data curation and large-scale pretraining. Focus on improving reasoning capabilities of vision-language models and conducting high-impact research for top-tier AI conferences.

Location: Hybrid in Sunnyvale, CA

Salary: $99.76/hour

Company

hirify.global is a leading developer of Embodied AI technology creating mapless and hardware-agnostic AI products for the automotive industry.

What you will do

  • Work on foundation models for embodied AI, including large-scale pretraining and post-training.
  • Train models on large-scale multimodal data (vision, language) within multi-node distributed systems.
  • Curate large multimodal datasets for training and evaluation.
  • Lead high-impact research and publish findings at top-tier conferences such as CVPR, NeurIPS, and ICRA.

Requirements

  • Currently pursuing a graduate degree in Computer Science, Machine Learning, Robotics, or a related technical field.
  • Proficiency in at least one backend/systems programming language (e.g., Python, Ruby, Java).
  • Experience with vision-language models, LLMs, NLP, and reasoning.
  • Experience in curating training data to steer model behavior.
  • Proficiency with PyTorch, TensorFlow, or JAX for deep learning.
  • Must be based in or able to work hybrid in Sunnyvale, CA.

Nice to have

  • Experience with multi-node distributed training of large models.
  • Previous publications in top-tier AI conferences (e.g., CVPR, ICCV, NeurIPS).

Culture & Benefits

  • Inclusive work environment that values diversity and new perspectives.
  • Fast-paced environment focused on solving complex, groundbreaking AI challenges.
  • Opportunity to conduct high-impact research and publish at major conferences.
  • Collaborative atmosphere with a team of Applied Scientists and ML Engineers.

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