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7 часов назад

Senior Machine Learning Engineer (AI)

163 000 - 288 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (AI): Designing and building core ML systems for intelligent agents within hirify.global’s platform with an accent on LLM-powered agent logic, RAG pipelines, and production-grade orchestration. Focus on solving complex, open-ended problems at global scale while ensuring system reliability, explainability, and performance.

Location: Must be based in the USA. This is a hybrid role requiring at least 50% of time spent in the office or in the field.

Salary: $163,000 – $288,000 USD

Company

A Fortune 500 company and leading AI platform for managing people, money, and agents.

What you will do

  • Design and build core ML systems for next-generation AI agents.
  • Own the full lifecycle of ML products from problem framing and data strategy to deployment and monitoring.
  • Implement frameworks for LLM-powered agents, including RAG pipelines and workflow orchestration.
  • Partner with software engineers, product managers, and data scientists to integrate agents into the platform.
  • Apply engineering judgment to ensure systems are scalable, observable, and enterprise-ready.

Requirements

  • Must be based in the USA.
  • 7+ years of experience in data science or ML engineering building applied products at scale.
  • Professional experience with deep learning frameworks like PyTorch or TensorFlow.
  • Proven experience building services to host ML models in production.
  • Demonstrated experience working with LLMs, text generation, or graph neural networks.
  • Experience with cloud computing platforms such as AWS or GCP.

Culture & Benefits

  • Flexible work approach with a focus on intentional in-person collaboration.
  • Comprehensive benefits package including health insurance and stock grants.
  • Culture rooted in integrity, empathy, and shared enthusiasm.
  • Investment in long-term professional development and growth.

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