ML Engineer/Researcher - Computer Vision (Generative Media) or ML Research Scientist or ML Engineer

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AI Summary

Join an applied research lab building AI-powered creative tools. As an ML Engineer/Researcher, you'll build CV systems for generative media. As an ML Research Scientist, you'll invent new methods for creative reasoning. As an ML Engineer, you'll turn cutting-edge research into production systems.

Key Highlights
Build CV systems for generative media
Invent new methods for creative reasoning
Turn cutting-edge research into production systems
Key Responsibilities
Build CV systems for generative media
Invent new methods for creative reasoning
Turn cutting-edge research into production systems
Technical Skills Required
PyTorch JAX Deep learning architectures Optimisation Tooling Computer vision literature Generative models for video
Benefits & Perks
Sponsorship for the right candidate
Access to world-class compute resources
Collaboration with leading researchers and artists

Job Description


  • Please note this role is based in New York and will require relocation - sponsorship will be supported.


We are partnered with an applied research lab that is building the future of AI-powered creative tools – systems that turn cutting edge research into production-ready technology that empowers creators worldwide.

They are seeking exceptional talent across three specialist roles to help solve the hardest problems in computational creativity.

Opportunity 1: ML Engineer to turn cutting-edge research into production systems that generate creative content. You'll build multi-stage inference for video, text, images, audio and 3D with real-time feedback and refinement.

They are looking for:


  • Deep knowledge of modern deep learning architectures, optimisation, and tooling.
  • Proficiency in PyTorch or JAX. Experience designing, training, and evaluating deep learning systems.
  • Breadth across ML literature beyond just generative models.


Opportunity 2: ML Research Scientist to solve the hardest problem in AI (teaching machines to be creative!). You will invent new methods beyond pattern marching to build cretive reasoning and artistic decision-making and will build models that generalise and create across a variety of mediums.

They are looking for:


  • Ability to invent new methods from scratch, requiring deep knowledge of ML fundamentals (math, probability, optimisation) rather than just applying existing GenAI frameworks.
  • PhD in Computer Science or Machine Learning preferred.
  • Proven ability to advance the state of the art, evidenced by multiple peer-reviewed papers at top venues like NeurIPS, ICML, ICLR, or AAAI.


Opportunity 3: ML Engineer/Research - Computer Vision (Generative Media) to make generative media go from an idea to screen and put the creative studio in everyone's hands! You'll build CV systems that generate minutes of studio-grade and turn pro editing tools into model controls: relighting, grading, camera moves – all inside the generator.

They are looking for:


  • Broad knowledge of computer vision literature.
  • Experience developing CV models for images and video.
  • Deep expertise in generative models for video.


Work at the intersection of art and technology. Access world-class compute resources. Collaborate with leading researchers and artists. Ship systems that millions of creators will use to bring their visions to life.

** Will offer sponsorship for the right candidate **

Ready to apply? Please send your CV for more information!

Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs.

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