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4 часа назад

Principal Machine Learning Engineer (AI)

184 200 - 310 458$
Формат работы
remote (только USA)
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

Principal Machine Learning Engineer (AI): Leading the architectural vision and operationalization of ML capabilities for an identity security platform with an accent on scalable ML systems, MLOps, and production-grade model deployment. Focus on driving complex AI initiatives, mentoring engineering teams, and bridging the gap between research and high-impact customer outcomes.

Location: Remote (US). Note: This role requires an in-person interview.

Salary: $184,200 – $310,458 USD

Company

hirify.global is a leader in identity security, providing AI-driven solutions that secure digital workforces for enterprises worldwide.

What you will do

  • Define and lead the architectural vision for core ML systems, services, and platforms.
  • Design, develop, and deploy production-grade ML models including behavioral detection, semantic search, and graph-based solutions.
  • Translate research and prototypes into scalable, maintainable production systems.
  • Set and evolve ML engineering standards for experimentation, evaluation, and governance.
  • Partner with platform and DevOps teams to ensure reliable data access and cost-efficient compute.
  • Mentor engineers on ML system design and best practices for production AI.

Requirements

  • 12+ years of experience in machine learning or software engineering.
  • Proven track record of architecting and delivering large-scale, production ML systems.
  • Deep hands-on expertise with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Extensive experience with MLOps practices including CI/CD, monitoring, and model lifecycle management.
  • Strong foundation in data modeling, feature engineering, and experimental design.
  • Must be based in the United States and available for an in-person interview.

Nice to have

  • Experience in cybersecurity, identity, or enterprise SaaS.
  • Deep expertise in NLP, Behavioral Modeling, Time Series, or Graph ML.
  • Experience designing reusable AI platforms supporting multiple product lines.

Culture & Benefits

  • Comprehensive health, dental, and vision insurance.
  • 401(k) Savings and Investment Plan with company matching.
  • Flexible vacation policy and paid holidays.
  • Paid parental leave and disability coverage.
  • Health Savings Account (HSA) with employer contribution.
  • Supportive environment with focus on professional growth and mentorship.

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