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5 дней назад

Senior Machine Learning Engineer (AI)

180 000 - 220 000$
Формат работы
hybrid
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): Building and scaling agentic AI contracting systems with an accent on information retrieval, LLM orchestration, and search quality. Focus on designing eval-driven development workflows and optimizing production pipelines for complex enterprise contract data.

Location: Must be based in or able to commute to San Francisco, CA (Hybrid: Tuesdays and Thursdays in-office)

Salary: $180,000 – $220,000

Company

hirify.global is a leader in contract lifecycle management, leveraging AI to transform how the world's largest organizations manage over 2 billion contracts.

What you will do

  • Evolve agentic search architectures that combine LLMs and retrieval systems to answer complex queries.
  • Design and execute benchmarks and experiments to measure and improve search quality.
  • Build and maintain NLP/LLM pipelines to process raw contract documents for retrieval.
  • Collaborate with ML and infrastructure engineers to operate flagship AI capabilities.
  • Contribute to the company's overall search quality standards.

Requirements

  • 4+ years of experience building production systems in search, information retrieval, or recommendation systems.
  • Expertise in learned/hybrid retrieval, query understanding/NLU pipelines, or production LLM agent systems.
  • Experience with search frameworks like Elasticsearch, Solr, Vespa, or OpenSearch.
  • Fluency with modern LLM APIs and multi-provider orchestration (Anthropic, OpenAI, Google).
  • Proven ability to build eval-driven workflows including offline benchmarks and regression detection.
  • Must have authorization to work in the US.

Culture & Benefits

  • 100% health coverage for employees (medical, dental, vision) and 75% for dependents.
  • 401(k) plan with employer match.
  • Flexible paid time off policy.
  • Family forming support through Maven and mental health support via Modern Health.
  • Monthly stipends for wellbeing and hybrid work.
  • Regular team events and a focus on career growth and development.

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