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3 часа назад

Member of Technical Staff, Training Infra (AI)

200 000 - 350 000$
Формат работы
onsite
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

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TL;DR
Member of Technical Staff, Training Infra (AI) (Distributed LLM Training): Designing and optimizing distributed systems for reliable, scalable training of large language models across thousands of GPUs and nodes with an accent on throughput, reproducibility, and infrastructure efficiency. Focus on building reusable training frameworks, profiling ML systems, and solving performance and reliability challenges across large-scale AI workloads.

Location: Bay Area, United States; in-office

Salary: $200,000–$350,000 USD annual base salary, plus equity and benefits.

Company

hirify.global develops diffusion-based large language models, including Mercury, with a focus on high-speed, efficient AI systems for enterprise deployment.

What you will do

  • Design, implement, and optimize distributed training systems across thousands of GPUs and nodes.
  • Develop high-performance optimizations to maximize training throughput and efficiency.
  • Build reusable frameworks and libraries for training reproducibility, reliability, and scalability.
  • Enable efficient experimentation and training for new model architectures.

Requirements

  • BS, MS, PhD, or equivalent experience in Computer Science, Engineering, or a related field.
  • Systems-level understanding of ML frameworks such as PyTorch and TensorFlow.
  • Strong engineering skills with performant, maintainable code and complex codebase debugging.
  • Proficiency in Python and at least one systems programming language: C++, Rust, or Go.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.

Nice to have

  • Experience building and maintaining language models with tens of billions of parameters or more.
  • Experience with Kubeflow or Airflow.
  • Performance optimization and profiling experience with Prometheus, Grafana, or OpenTelemetry.
  • Familiarity with PyTorch/XLA, DeepSpeed, or Megatron-LM.

Culture & Benefits

  • Collaboration with AI researchers and inventors of diffusion-model technologies.
  • Flexible vacation and paid time off.
  • Health, dental, and vision insurance.
  • 401(k) match, catered meals, and commuter subsidies.
  • Collaborative and inclusive in-office environment.

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