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Staff Machine Learning Engineer (AI)

141 300 - 238 124$
Формат работы
remote (только USA)
Тип работы
fulltime
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

Staff Machine Learning Engineer (AI): Designing and scaling production-grade ML systems for an identity security platform with an accent on model lifecycle management, MLOps, and scalable architecture. Focus on building robust data pipelines, deploying LLM-based solutions, and mentoring engineering teams to drive AI innovation across the product ecosystem.

Location: Must be based in the United States

Salary: $141,300–$238,124

Company

hirify.global is a leader in identity security, providing AI-driven solutions that secure and enable cloud-oriented enterprises worldwide.

What you will do

  • Design, implement, and optimize supervised, unsupervised, and LLM-based models for product capabilities.
  • Translate experimental prototypes into scalable, maintainable production systems.
  • Build and enhance ML infrastructure for feature extraction, training, deployment, and monitoring.
  • Drive technical strategy for reproducibility, model versioning, and CI/CD automation.
  • Collaborate with platform and DevOps teams to ensure observability and efficient compute usage.
  • Mentor engineers on ML design patterns, experimentation frameworks, and software craftsmanship.

Requirements

  • 8+ years of professional experience in machine learning engineering or software development.
  • Strong programming skills in Python and proficiency with PyTorch, TensorFlow, or scikit-learn.
  • Proven track record of building and deploying ML models at production scale.
  • Expertise in data pipelines, ETL, and frameworks like Spark, Airflow, or dbt.
  • Solid knowledge of MLOps practices including monitoring, retraining, and CI/CD.
  • Must be authorized to work in the United States.

Nice to have

  • Experience with LLM-based solutions, embeddings, and RAG.
  • Familiarity with identity, security, or enterprise SaaS systems.
  • Experience designing AI platforms or reusable ML services.

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.
  • Employee Assistance Program and voluntary benefits like pet insurance.

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