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9 часов назад

Machine Learning Engineer (Gamedev)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Machine Learning Engineer (Gamedev): Develops novel machine learning techniques to solve diverse tasks in game development, incorporating foundation models and high-level reasoning into the imitation process with an accent on research and innovation. Focus on data analysis, collaboration with cross-functional teams, and continuous learning to maintain a culture of innovation.

Location: London, UK

Company

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work.

What you will do

  • Design, develop, and deliver novel machine learning techniques to solve diverse tasks in game development.
  • Contribute to the authorship of team research papers, presenting at relevant conferences.
  • Perform data analysis and cleaning to uncover insights and patterns.
  • Collaborate with cross-functional teams to deploy machine learning models in production environments.
  • Present findings to stakeholders, communicating complex technical issues.
  • Maintain a culture of innovation, curiosity, creativity, and continuous learning.

Requirements

  • Master’s degree in computer science, electrical engineering, robotics, statistics, mathematics, or a related field.
  • 2+ years in machine learning with expertise in Imitation Learning, Reinforcement Learning or Representation Learning.
  • Hands-on experience with foundation models at the intersection of language, vision, and action.
  • Familiarity with transformer architectures, generative models and knowledge distillation techniques.
  • Proficiency in programming languages and frameworks relevant to machine learning, including Python, NumPy and Pytorch.
  • Excellent problem-solving, communication and interpersonal skills.

Nice to have

  • Experience with computer vision in areas such as Self-Supervised Learning (SSL), multimodal architectures, and post-training techniques is a plus.
  • An interest in gaming and exploring the intersection of machine learning and game technology is desirable.

Culture & Benefits

  • Strive to create an inclusive environment, empower employees and embrace diversity.

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