Назад
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25 дней назад

ML Engineering Intern (AI)

8 160 - 10 400$
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

ML Engineering Intern (AI): Optimizing and scaling ML workloads on advanced GPU infrastructure with an accent on model inference, deployment, and performance benchmarking. Focus on developing structured optimization playbooks and implementing cutting-edge ML strategies for enterprise customers.

Location: Hybrid: Must be based in San Francisco (office presence required 4 days per week)

Salary: $51 – $65 per hour

Company

A leader in AI cloud infrastructure providing GPU compute power for AI researchers and enterprises.

What you will do

  • Support customer onboarding, optimization engagements, and production deployments for demanding ML use cases.
  • Work on cutting-edge workloads running on advanced GPU infrastructure.
  • Review and improve prior optimization strategies based on current best practices.
  • Develop a structured optimization playbook and case studies to quantify field engineering value.
  • Present findings and work results to company leadership.

Requirements

  • Currently pursuing or recently completed a Master's degree in Computer Science, Machine Learning, or a related field.
  • Strong Python skills with experience in ML inference, model optimization, and benchmarking.
  • Solid understanding of ML model architecture and the ability to build and debug models from scratch without AI assistance.
  • Knowledge of MLOps tools, open-source models, and orchestration strategies.
  • Proficiency in fine-tuning models.
  • Must be based in San Francisco for 4 days per week office presence.

Nice to have

  • Familiarity with LLM inference frameworks like vLLM, sgLang, Modular, or TensorRT-LLM.
  • Ability to write tests for layer-wise benchmarking of ML model performance.
  • Knowledge of networking, storage, and orchestration tools.
  • Prior internship at an ML infrastructure, cloud, or GPU hardware company.
  • Interest in solutions engineering or developer relations.

Culture & Benefits

  • Competitive hourly rate with eligibility for overtime.
  • Health, dental, and vision coverage for employees and dependents.
  • 401k plan with 2% company match for USA employees.
  • Wellness and commuter stipends.
  • Flexible paid time off plan.

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