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Senior Machine Learning Developer

1 month ago

London, Greater London, United Kingdom Framestore Full time

About the Role

We are seeking an experienced developer to join our Machine Learning technology team at Framestore, where innovation is at the heart of what we do. As a key member of our team, you will leverage the latest research and technology in machine learning to push the boundaries of visual storytelling.

Your main focus will be the research and development of cutting-edge machine learning algorithms and their design, development, and implementation as toolsets in VFX production. You will work alongside our team of world-class software engineers, R&D tech leads, artists, and production teams in a fast-paced production environment to shape the future of our machine learning tools.

Key Responsibilities

  • Develop and implement cutting-edge machine learning algorithms and toolsets in VFX production
  • Collaborate with our team of software engineers, R&D tech leads, artists, and production teams to shape the future of our machine learning tools
  • Mentor other ML developers through code reviews, inclusive planning processes, and technical design reviews
  • Ensure strong best practices around agile processes, coding standards, and software design

Requirements

  • Demonstrable experience of software engineering or other production-related work in a media production/game development company or similar industry
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Strong knowledge of linear algebra, statistics, and optimization
  • Demonstrable experience with team and workflow management, including mentoring and code reviews

Desirable Experience

  • Familiarity with Agile/Scrum methodologies
  • Experience of the use of source control systems, revision management, and maintenance
  • A degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Machine Learning, or other related fields

Work Arrangements

At Framestore, we offer a flexible work arrangement where employees have the option to split their work time between home and office. The ML team has two weekly project days on Mondays and Thursdays where office attendance is mandatory.