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1 день назад

Machine Learning Engineer (AI)

168 000 - 198 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Релокация
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

Machine Learning Engineer (AI): Building and shipping production-grade AI systems for background check automation with an accent on LLM integration, API design, and scalable model deployment. Focus on solving complex document processing and classification challenges while ensuring system reliability and performance in a fast-paced environment.

Location: Must be based in or willing to relocate to a hirify.global hub (San Francisco, Denver, Nashville, or Santiago). Role requires 3+ days a week in-office.

Salary: $168,000 - $198,000 USD

Company

hirify.global is a data platform powering safe and fair background checks for over 100,000 customers, including major tech companies.

What you will do

  • Design, develop, and deploy production-grade ML models and AI services.
  • Integrate LLM APIs into core products with a focus on cost, latency, and quality.
  • Write clean, testable, and well-structured production software.
  • Partner with product and engineering teams to translate business needs into ML solutions.
  • Build evaluation frameworks and iterate rapidly on model performance.
  • Automate pipelines and contribute to agentic workflows.

Requirements

  • 4+ years of professional software engineering experience, with at least 2 years building production ML systems.
  • Strong Python fluency with solid OOP instincts.
  • Hands-on experience with LLM APIs, prompt engineering, and structured outputs.
  • Experience maintaining APIs, CI/CD pipelines, and distributed systems.
  • Strong communication skills to explain technical decisions to non-technical stakeholders.
  • Must be based in or willing to relocate to a hirify.global hub location.

Nice to have

  • Experience with MLOps platforms like MLflow or SageMaker.
  • Background in document processing, OCR, or information extraction.
  • Experience with PySpark or large-scale data processing.
  • Ruby/Rails experience.
  • Familiarity with compliance-sensitive domains like fintech or HR tech.

Culture & Benefits

  • Competitive cash and equity compensation.
  • 100% medical, dental, and vision coverage.
  • Up to $25K reimbursement for fertility, adoption, and parental planning.
  • Flexible PTO policy and monthly wellness stipend.
  • In-office perks including daily lunch, snacks, and commuter stipend.

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