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2 часа назад

Senior Machine Learning Engineer (Cybersecurity)

119 400 - 201 190$
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

Senior Machine Learning Engineer (Cybersecurity/ML): Designing and scaling AI-powered identity security capabilities with an accent on model design, embeddings, and production-grade ML systems. Focus on translating AI research into practical systems and improving model accuracy and scalability within a cloud-native environment.

Location: Must be based in the United States

Salary: $119,400 - $201,190 USD

Company

hirify.global is the leader in identity security for the cloud enterprise, providing AI-driven solutions to secure digital workforces.

What you will do

  • Design and implement ML models to solve complex identity security challenges.
  • Lead research and prototyping in embeddings, representation learning, and similarity measurement.
  • Translate AI research and prototypes into practical, production-ready systems.
  • Drive improvements in model accuracy, precision/recall, and generalization.
  • Implement and advocate for MLOps best practices, including model monitoring, retraining, and CI/CD.
  • Collaborate with product managers and cross-functional teams to deliver high-impact AI capabilities.

Requirements

  • 5+ years of professional experience in a technical field with a focus on machine learning.
  • Proven experience with anomaly detection, semantic search, embeddings, or similarity measurement.
  • Strong programming skills in Python and proficiency with PyTorch, TensorFlow, or scikit-learn.
  • Strong foundation in software engineering: testing, modularization, code review, and observability.
  • Knowledge of MLOps practices and data modeling/feature engineering.
  • Must be based in the United States.

Nice to have

  • Experience in cybersecurity, identity, or enterprise SaaS systems.
  • Expertise in NLP, Behavioral Modeling, or Graph ML.
  • Experience owning the technical design and delivery of complex ML components.
  • Hands-on experience deploying ML models in cloud-native environments.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance with HSA employer contribution.
  • 401(k) Savings and Investment Plan with company matching.
  • Flexible vacation policy and 8 paid holidays annually.
  • Paid parental leave and sick leave.
  • Employee Assistance Program (EAP) and Care Counselors.

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