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2 часа 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/Python): Building and shipping production AI systems for a background check data platform with an accent on LLM integration, API design, and scalable ML services. Focus on developing end-to-end production software, creating evaluation frameworks for AI models, and optimizing system latency and cost.

Location: Hybrid in San Francisco, CA (3+ days a week in office). Relocation stipend may be available.

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

Company

hirify.global is building a data platform to power safe and fair decisions using AI verification for background checks.

What you will do

  • Design, develop, and ship production ML/AI services including model code, API layers, and monitoring.
  • Integrate LLM APIs (OpenAI, Anthropic) as building blocks, balancing cost, latency, and quality.
  • Write clean, testable OOP software with a strong emphasis on CI/CD and engineering craft.
  • Collaborate with Product Engineering and cross-functional teams to translate business needs into technical ML solutions.
  • Build evaluation frameworks and iterate quickly based on data-driven performance metrics.
  • Develop AI-powered workflows and agentic systems to automate internal pipelines.

Requirements

  • Bachelor's or Master's in CS, Mathematics, or equivalent experience.
  • 4+ years of professional software engineering experience, with 2+ years in production ML.
  • Strong Python fluency with solid OOP instincts and experience writing production-grade software.
  • Hands-on experience with LLM APIs, including prompt engineering and function calling.
  • Proficiency in building APIs, CI/CD pipelines, and distributed systems (queues, async processing).
  • Must be based in or able to relocate to San Francisco, CA.

Nice to have

  • Experience with MLOps platforms (MLflow, SageMaker, Vertex).
  • Background in OCR, document processing, or information extraction.
  • Knowledge of PySpark, dbt, or Snowflake.
  • Ruby experience (Rails).

Culture & Benefits

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

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