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3 дня назад

Deep Learning Engineer (Computer Vision)

160 000 - 175 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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

Deep Learning Engineer (Computer Vision): Implementing core deep learning and computer vision algorithms to transform high-dimensional 2D and 3D media data into high-fidelity content. Focus on applying cutting-edge research in machine learning and computer graphics to solve complex technical challenges in a large-scale media environment.

Location: Must be based in New York, NY

Salary: $160,000 - $175,000

Company

hirify.global is a leading global media and entertainment company creating world-class content across film, television, streaming, and theme parks.

What you will do

  • Implement core deep-learning, computer vision, and inverse-procedural modeling algorithms using Python.
  • Apply advanced research in machine learning and computer graphics to solve real-world media problems.
  • Coordinate with cross-functional teams to translate product vision into technical milestones.
  • Deploy and test code on large-scale geospatial datasets using Unix-based systems.
  • Manage source code and modularize complex implementations using Git.

Requirements

  • Graduate degree in Data Science, Computer Science, or equivalent technical experience.
  • Proven professional experience as a Deep Learning or Applied Research Engineer.
  • Fluency in Python, Git, and Unix shell environments.
  • Strong mathematical foundation in linear algebra, statistics, probability, and numerical methods.
  • Experience training and debugging artificial neural networks.

Nice to have

  • Prior experience with modern C++ for data ingestion and product pipelines.
  • Background in industries such as robotics, aerospace, or game development.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) retirement plan with company contributions.
  • Paid leave and tuition reimbursement programs.
  • Inclusive culture focused on community impact and professional development.

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