Machine Learning Engineer

Skillsearch
London
2 weeks ago
Applications closed

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Machine Learning Engineer

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Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Job Description

Company Overview:

We are partnering with an innovative and forward-thinking game development studio, known for creating captivating and technically advanced games that engage a global audience. The studio is driven by a passion for crafting meaningful gaming experiences and pushing the boundaries of whats possible. They are now looking for talented engineers to join their team and contribute to exciting, ground breaking projects. If you’re ready to make an impact in the gaming world, this is an incredible opportunity.

Role Overview:

As a Software Engineer with this studio, you will play a key role in the development of cutting-edge features that utilize Machine Learning to create dynamic, procedurally generated game worlds. You will collaborate with a dedicated and forward-looking team to design, implement, and iterate on new features, helping to shape the future of their games.

Key Responsibilities:

  • Lead the development of new and existing features utilizing Machine Learning to generate immersive, procedurally generated worlds within the games.
  • Collaborate with a humble, empathetic, and ambitious development team to push the boundaries of innovation in the gaming space.
  • Drive the design and iteration of features, incorporating feedback from peers and stakeholders to refine and improve your work.
  • Manage your workload autonomously, prioritizing tasks and ensuring timely delivery of high-quality results.
  • Communicate effectively within the team, sharing progress, challenges, and insights while being receptive to feedback.

Qualifications:

  • Strong software engineering skills, with a solid understanding of algorithms, data structures, and software architecture.
  • Experience with Machine Learning engineering, particularly with modern libraries such as PyTorch.
  • Deep knowledge of generative models, including expertise in diffusion models and Variational Autoencoders (VAEs).
  • Proven ability to work autonomously, take ownership of tasks, and drive them to completion.
  • Strong communication skills, with the ability to collaborate effectively within a team-oriented environment.
  • Able to prioritize tasks and adapt to changing circumstances in a fast-paced, evolving environment.

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