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2 часа назад

Senior Machine Learning Infrastructure Engineer (AI)

126 900 - 185 100$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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

Senior Machine Learning Infrastructure Engineer (AI): Building foundational engines and scalable platforms for AI/ML initiatives with an accent on distributed training, automated pipelines, and high-performance inference. Focus on architecting robust data sampling systems, optimizing infrastructure costs, and creating developer-first tools to accelerate model deployment.

Location: Must be based in La Honda, CA

Salary: $126,900–$185,100

Company

hirify.global is a staffing and recruitment firm specializing in technical and engineering placements.

What you will do

  • Design and build end-to-end ML workflows and automated pipelines to accelerate the path from experimentation to production.
  • Architect and scale distributed training and model-serving infrastructure for foundational models.
  • Develop robust data sampling and feature generation platforms at scale.
  • Implement smart resource management and cost-optimization strategies for large-scale training clusters.
  • Build developer-first internal tools to reduce cognitive load on research teams.
  • Ensure high platform reliability and minimal deployment drift through standardized automation.

Requirements

  • Minimum 5-10 years of experience in designing and maintaining large-scale ML infrastructure or distributed systems.
  • Deep expertise in container orchestration (Kubernetes), distributed training, and cloud-native infrastructure.
  • Proven track record of managing massive-scale data pipelines and feature stores.
  • Strong ability to collaborate effectively with both research scientists and software engineers.
  • Must be authorized to work in the United States as the role requires onsite presence in La Honda, CA.

Nice to have

  • Background at large-scale AI/ML-driven technology companies.
  • Experience with foundational model training techniques like model distillation and fine-tuning at scale.
  • Scalability mindset prioritizing modular, reusable, and testable code.

Culture & Benefits

  • Major medical, dental, and vision insurance for assignments lasting 13 weeks or longer.
  • 401k retirement plan participation.
  • Statutory sick pay where required by law.
  • Commitment to reasonable accommodations for individuals with disabilities.
  • Participation in E-Verify and adherence to Fair Chance hiring ordinances.

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