Research Engineer (Computer Vision - HD Neural Synthesis)

Santa Monica, California, United States

Applications have closed
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Flawless

We are a London-based Neural Network Lab specialising in ground-breaking A.I technology specifically in the TV & Film field.

Are you a hands-on Computer Vision Scientist with a solid background in Machine Learning who loves solving challenging computer vision and graphics problems at scale and is eager to design solutions that will help us revolutionize video content creation for films and TV?

Do you want to help revolutionize the way that Film and TV are experienced across the globe? Do you dream of working with the world's best Technologists, Visual Effects Editors, and AI Scientists? Then look no further...We Are Flawless!

Here at Flawless, our first AI-based technology can visually translate a film or TV show into any language whilst preserving the original actor's performances, so you can enjoy it without annoying subtitles or poor dubbing! Our recent launch has attracted interest from several global streaming services & film studios, cementing our position as pioneers in a multi-billion dollar industry.

To take full advantage of this position, we are expanding our Research team in LA with multiple Research Engineers to contribute to novel AI-based graphics technology deployed at scale to turn science into unique business products.

Requirements

To succeed, you should have:

  • Demonstrable 3+ years research experience (industry preferable) with Deep Learning and Computer Vision in the following:
    • Neural networks and transfer learning
    • Un-supervised/Self-supervised learning
    • GAN-based image synthesis esp. real-time methods
    • Super-resolution
    • Multi-scale architectures esp. for HD (2K/4K) image synthesis
    • Domain adaptation techniques
  • Developed tools or solutions at scale for visual effects or real-world computer vision problems
  • Scholarly work in CV and ML venues, e.g., Siggraph, ICCV, CVPR, ECCV, Eurographics, etc.
  • Very good experience in Machine Learning and Deep Learning
  • Excellent coding skills in Python
  • Proficiency with DL frameworks such as PyTorch, Tensorflow, or Keras
  • Good communication skills to collaborate in a team with Researchers, ML engineers, and VFX artists
  • MS or Ph.D. in Visual Computing, Computer Vision, Machine Learning, or related fields

You’ll shine if you have also experience with:

  • Self and cross-domain attention models
  • Multi-modal image synthesis esp. with audio-visual data
  • 3D Vision and GANs
  • AWS, GCP, and Docker
  • Virtual environments such as Anaconda
  • VFX tools such as Nuke

Benefits

What you'll get from us:

  • Autonomy - you own the work that you do from start to finish, and you'll have the opportunity to influence research ideas and independently implement and evaluate them in modern deep learning and company tech stack at scale.
  • Career growth in science - you’ll be up to speed with major scientific advances, contribute ideas to scholarly articles and patents, and participate at major conferences in AI-related fields.
  • Learning & development - you'll be working with the world's best Technologists, Visual Effects Editors & AI Scientists to push the boundaries of what is possible.
  • Inclusive culture - collaboration is essential, everyone's opinion and input are genuinely valued.
  • Be part of something BIG - we are changing the Film & TV industry for the better, breaking down language barriers, and bringing people closer together.


Working for Flawless:

  • Enjoy our flexible working environment and hybrid office model.
  • Benefit from our shared success - all new joiners are given stock options.
  • Competitive salary (ignore Glassdoor/Indeed estimate)
  • Celebrate together - work across teams to solve challenging problems and push the boundaries of video content creation.
  • Networking in the film industry
  • Medical / dental / vision insurance
  • Basic 401(k) plan
  • Corporate laptop


Apply today and help us shape the future of Film & TV.

Job region: North America
Job country: United States
Job stats:  8  2  0

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