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3 дня назад

Machine Learning Engineer (Artificial Intelligence)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
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 (Artificial Intelligence): Design, build, and deploy end-to-end machine learning models and pipelines with an accent on image and video processing and diffusion models. Focus on building low-latency, real-time ML deployment systems, optimizing model performance, and collaborating with research and cross-functional teams.

Location

Location: Remote, work from anywhere

Company

hirify.global is a globally distributed foundation model startup headquartered in the San Francisco Bay Area, California, focused on building useful multimodal artificial intelligence to empower organizations and businesses.

What you will do

  • Translate cutting-edge research into production-ready machine learning systems
  • Design, build, and deploy end-to-end ML models and pipelines
  • Develop and optimize models for image and video processing
  • Own the full ML lifecycle including experimentation, training, evaluation, and deployment
  • Rapidly prototype using open-source models and adapt them for product needs
  • Collaborate with researchers and cross-functional teams to deliver ML solutions at scale

Requirements

  • MS/PhD in Computer Science, Electrical Engineering, or related field
  • 5+ years experience in Python and proficiency in Java, C++, or Scala
  • Strong research experience with familiarity in top conferences (CVPR, ICCV, NeurIPS)
  • Strong understanding of diffusion models, CNNs, Transformers, multithreading, and memory management
  • Experience with PyTorch or TensorFlow and ML deployment in cloud environments (AWS preferred)

Nice to have

  • Experience in low-level optimization such as CUDA
  • Experience productionizing and scaling ML models in real-world systems
  • Contributions to open-source projects
  • Experience with MLOps tools or distributed training systems
  • Familiarity with relational databases and large-scale data tools like Spark

Culture & Benefits

  • Work with an elite team from top AI organizations and startups
  • Mission-driven and inclusive work environment
  • 5 weeks of paid leave
  • Comprehensive healthcare including vision and dental
  • Visa support including H1B and OPT transfers for US employees

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