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2 дня назад

Lead ML Engineer (AI)

190 000 - 210 000$
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead ML Engineer (AI): Designs and leads production-grade ML/AI systems across computer vision, large language models, and retrieval architectures with an accent on scalable platforms, evaluation, monitoring, and reliable deployment. Focus on building reusable AI primitives and services, balancing performance, latency, cost, and maintainability, and embedding AI into products, operations, and newsroom workflows.

Location: Englewood Cliffs, New Jersey, United States. External candidates may be required to attend an in-person interview at a hirify.global location.

Salary: USD 190,000–210,000 yearly

Company

hirify.global is a media and entertainment company operating news, business, golf, sports, and genre entertainment brands alongside digital media assets.

What you will do

  • Set the technical vision and execution roadmap for ML/AI across business and newsroom priorities.
  • Architect and implement end-to-end ML systems covering data, training, evaluation, deployment, and monitoring.
  • Build systems across computer vision, language, retrieval, and generative AI domains.
  • Define evaluation frameworks, benchmarks, monitoring strategies, and feedback loops for model quality and safety.
  • Develop reusable AI primitives, APIs, shared services, and internal platform capabilities across the hirify.global portfolio.
  • Partner with Product, Engineering, Editorial, Data, and executive stakeholders to deliver reliable, scalable AI-powered applications.

Requirements

  • 8–12+ years of experience in machine learning, applied AI, and distributed systems, including production model operations.
  • Proven experience architecting and scaling end-to-end ML systems in high-traffic production environments.
  • Deep expertise in Python, modern ML frameworks, and strong software engineering practices.
  • Hands-on experience with large language models, retrieval systems, generative AI, evaluation frameworks, monitoring, and feedback loops.
  • Strong understanding of distributed systems, data engineering, cloud infrastructure, and cost-performance trade-offs.
  • Ability to work cross-functionally, influence senior leadership, and translate ambiguity into execution.

Nice to have

  • Experience in media, content, recommendation, search, or newsroom-related systems.

Culture & Benefits

  • Collaboration with Product, Engineering, Data, Editorial, and executive teams.
  • Opportunities to build foundational AI capabilities used across multiple brands and business units.
  • Benefits may include health insurance, retirement plans, and paid time off.
  • Equal employment opportunities and reasonable accommodation support are provided.

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