Назад
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5 дней назад

ML Engineer (Video Generation)

175 000 - 275 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
ML Engineer (Video Generation): Building and scaling the machine learning systems powering large-scale video and multimodal generation models with an accent on distributed training, inference efficiency, and production reliability. Focus on optimizing GPU utilization, applying distillation, quantization, and pruning, and achieving ultra-low-latency real-time generation.

Location: Onsite at the NYC headquarters in Union Square, New York City

Salary: $175K–$275K plus equity

Company

hirify.global is an AI-native video platform that uses natural language to orchestrate video production and editing through generative models.

What you will do

  • Train and optimize large-scale video and multimodal models.
  • Improve training and inference efficiency across memory usage, latency, and cost.
  • Implement distillation, quantization, and pruning techniques to accelerate diffusion and autoregressive generation.
  • Build and maintain distributed training systems while optimizing GPU utilization, parallelism, and throughput.
  • Develop tooling for experimentation, evaluation, and debugging.
  • Translate research models into production-ready systems and monitor their real-world performance.

Requirements

  • Bachelor’s, master’s, or PhD in computer science, machine learning, or a related field.
  • At least 2 years of professional industry experience.
  • Strong experience with deep learning systems and infrastructure.
  • Expertise in PyTorch, CUDA, Triton, and distributed training, including FSDP.
  • Experience scaling and optimizing large models under low-latency inference constraints.
  • Strong debugging, performance profiling, and prototype-to-production skills.

Culture & Benefits

  • Interdisciplinary environment focused on difficult technical and creative challenges in generative media.
  • Medical, dental, and vision insurance plans.
  • 401(k) with employer match and commuter benefits.
  • Catered lunches, evening dinner stipend, Grubhub subscription, and health and wellness perks.
  • Multiple team offsites per year, monthly team events, and generous paid time off.

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