Назад
Company hidden
6 дней назад

Senior Director, AI Engineering

229 600 - 337 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
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
Senior Director, AI Engineering (AI/Deep Learning/LLMs): Leading engineering teams building the AI and data engine for a real-time intelligence platform, with an accent on scalable model deployment, multimodal AI, and end-to-end quality measurement. Focus on translating research into production systems, directing complex AI projects across NLP, computer vision, information retrieval, and knowledge graphs, and optimizing model performance and cost.

Location: US-based hybrid role, based out of the Arlington, VA or New York City office

Annual base salary: $229,600–$337,000, plus discretionary bonus and company equity.

Company

hirify.global develops an AI-powered real-time intelligence platform that detects emerging risks, events, and threats from public data across text, image, video, audio, and sensor inputs in more than 150 languages.

What you will do

  • Lead the engineering team building the AI and data engine powering the real-time intelligence platform.
  • Define technical strategies that translate AI, deep learning, and machine learning research into scalable product capabilities.
  • Partner with scientists, engineers, product managers, and business teams to deliver solutions for real-time event detection across NLP, computer vision, information retrieval, and knowledge graphs.
  • Define and track model quality, cost, and integrated end-to-end performance metrics.
  • Modify model workflows, evaluations, and outputs while directing changes to technical approaches.
  • Lead engineers and scientists with a human-centered focus on context and end-user impact.

Requirements

  • Graduate degree in Computer Science, Electrical Engineering, or a related field.
  • At least 7 years of software engineering experience in a cloud-native environment, including AWS and Kubernetes.
  • At least 5 years of experience leading software engineers in an AI team.
  • Experience with deep learning frameworks, LLMs, agent harnesses, and compound AI systems, including technologies such as PyTorch, Langfuse, LangGraph, Weaviate, and A2A.
  • Hands-on experience developing and deploying machine learning, deep learning, or LLM systems at scale in NLP, computer vision, information retrieval, or a related field, preferably for real-time applications.
  • Track record of delivering complex AI projects, excellent communication skills, and the ability to connect research stages and complex technologies into end-to-end solutions.

Culture & Benefits

  • Flexible work arrangements and offices worldwide that support collaboration.
  • Generous paid time off and sick leave.
  • Professional development funds and manager development programming.
  • Employee resource groups and an emphasis on inclusion, equity, empathy, and social impact.
  • Competitive benefits package, discretionary bonus, and company equity.

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 →