Назад
Company hidden
17 часов назад

Sr. Machine Learning Engineer (AI)

124 900 - 210 512$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Sr. Machine Learning Engineer (AI): Building and scaling production-grade machine learning and agentic AI systems for identity security with an accent on classical ML, foundation models, retrieval-augmented generation, and graph ML. Focus on designing end-to-end solutions, improving model quality and reliability, and deploying observable, scalable systems across SailPoint’s cloud platform.

Location: United States

Salary: $124,900–$210,512 USD annually for US-based employees; compensation for other locations varies.

Company

hirify.global provides AI-powered identity security solutions for cloud enterprises, helping organizations manage access across their digital workforce.

What you will do

  • Design, develop, deploy, and scale machine learning and AI solutions for identity security challenges.
  • Build classical ML capabilities such as semantic search, behavioral modeling, embeddings, anomaly detection, classification, and ranking.
  • Develop agentic AI applications using foundation models, LLMs, retrieval-augmented generation, prompt engineering, and orchestration frameworks.
  • Translate research and prototypes into production-ready systems while improving model quality, accuracy, reliability, and scalability.
  • Implement ML engineering, testing, observability, MLOps, model lifecycle management, AI governance, and responsible AI practices.
  • Partner with product, platform, analytics, DevOps, and engineering teams to deliver high-impact AI capabilities.

Requirements

  • 5+ years of professional experience in machine learning, AI, or a related technical field.
  • Deep expertise building and deploying production machine learning systems.
  • Experience with LLMs, RAG, prompt engineering, agent frameworks, foundation models, or related technologies.
  • Strong Python programming skills and proficiency with PyTorch, TensorFlow, or scikit-learn.
  • Knowledge of data modeling, feature engineering, statistical analysis, experimentation, model evaluation, MLOps, monitoring, retraining, and CI/CD.
  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Nice to have

  • Experience in cybersecurity, identity, or enterprise SaaS.
  • Expertise in NLP, behavioral modeling, time series, graph ML, search, or recommendation systems.
  • Experience designing AI agents, autonomous systems, and cloud-native ML applications.
  • Experience delivering measurable business impact through AI and machine learning.

Culture & Benefits

  • Work with an AI team focused on meaningful customer outcomes in identity security.
  • Medical, dental, vision, disability, life, and supplemental insurance options.
  • 401(k) plan with company matching, HSA employer contributions, and flexible spending accounts.
  • Flexible vacation policy, paid holidays, sick leave, and paid parental leave.
  • Potential eligibility for a corporate bonus or role-specific commission and equity participation.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →