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19 часов назад

Senior Machine Learning Engineer (AI)

168 100 - 261 500$
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 Engineer (AI): Designing and building scalable ML infrastructure for Prime Video personalization with an accent on high-availability platform services and model lifecycle management. Focus on scaling training pipelines, real-time inference systems, and feature stores to support diverse entertainment content at massive scale.

Location: Must be based in Sunnyvale, CA; Seattle, WA; or New York, NY

Salary: $168,100 – $261,500 USD annually (depending on location)

Company

A global leader in e-commerce, cloud computing, and digital streaming services.

What you will do

  • Build ML platform services with Tier-1 availability and performance characteristics.
  • Evolve model serving and feature delivery infrastructure to support continuous experimentation.
  • Design and scale training pipelines, real-time inference systems, and feature stores.
  • Develop strategic technical vision for model lifecycle management and serving optimization.
  • Partner with scientists and product managers to translate research into production-grade capabilities.
  • Mentor junior engineers and drive engineering best practices across the team.

Requirements

  • 5+ years of professional software development experience
  • 5+ years of experience leading design or architecture of new and existing systems
  • Experience as a mentor or technical lead for an engineering team
  • Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
  • Deep understanding of ML and LLM fundamentals, including transformer architecture and optimization techniques

Culture & Benefits

  • Comprehensive health insurance including medical, dental, and vision coverage.
  • 401(k) matching program.
  • Paid time off and parental leave.
  • Mental health support and medical advice lines.
  • Inclusive culture with support for workplace accommodations.

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