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7 часов назад

Senior AI/ML Engineer

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 AI/ML Engineer (LLM infrastructure): Building production-grade ML systems, including data pipelines, training, evaluation, deployment, and inference serving at scale, with an accent on model performance, latency, and cost optimization. Focus on designing evaluation harnesses, optimizing distributed training and GPUs, and translating ambiguous product goals into measurable model improvements.

Location: On-site in San Francisco, United States

Company

hirify.global is a well-funded AI startup building production-grade machine learning infrastructure for enterprise customers.

What you will do

  • Design and ship end-to-end ML systems covering data pipelines, training, evaluation, and deployment.
  • Own model performance, latency, and cost trade-offs in production.
  • Build evaluation harnesses and offline benchmarks to support rapid iteration.
  • Work with product stakeholders to translate ambiguous goals into measurable model improvements.
  • Mentor engineers on ML best practices and code quality.

Requirements

  • 4+ years of applied ML engineering experience in production environments.
  • Hands-on experience with LLMs, fine-tuning, RAG, or large-scale recommender systems.
  • Strong Python and PyTorch or JAX fundamentals.
  • Experience with distributed training, GPU optimization, or inference serving.
  • Pragmatic approach to trade-offs between research-grade and ship-grade work.

Culture & Benefits

  • Full-time role working on-site with enterprise-facing ML infrastructure.
  • Opportunity to work on production-scale AI systems and model optimization.

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