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Data Scientist (Deep Learning)
Flawless AI
Santa Monica, CA 90401
View more jobs at Flawless AI
Flawless is an award winning film technology company pioneering the generative AI revolution in filmmaking. Solving some of the biggest problems filmmakers face by empowering them with groundbreaking AI powered post production tools, allowing on screen dialogue to be visually changed without the need to reshoot or go back to set. The world’s first system has won multiple awards including TIME Best Inventions.
Founded in 2020 by Hollywood director, Scott Mann and serial technology entrepreneur Nick Lynes, Flawless is opening a world of new possibilities for filmmakers whilst ensuring the responsible adoption of generative AI. With headquarters in London and LA, Flawless has established an exceptional team of 100+ world leaders in science, film and technology that have come from the likes of Adobe, Google, Lionsgate, NASA, Sony, Facebook, Microsoft and Apple (click here to find out more).

Flawless are looking for a Data Scientist - Deep Learning
You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that’s caring, creative and collaborative. The Science Data Platform team is responsible for sourcing, annotating and curating large multi-modal datasets within the film media domain at scale. The team works with Research Scientists, Applied Scientists and Deep Learning Data Engineers, as well as film innovation teams to understand data requirements and deliver high-quality datasets that power next-generation AI models. The data team leverages Machine Learning to implement and carry-out much of the mentioned data operations in a scalable automated way. The team is also responsible for scalable workflow orchestration, data versioning, and providing qualitative research and data statistics to other internal stakeholders driving business critical goals. Our work in automated visual translation is just the beginning, we’re developing countless exciting products based on the application of our proprietary, cornerstone research. This is an unbelievable opportunity to join a team operating at the cutting edge of the generative revolution, don't hesitate, reach out today.

Qualifications

    • Bachelor degree in Computer Science, Machine Learning, Computer Vision, or a related field
    • 2+ years experience with data curation and identifying biases in multi-modal datasets
    • 2+ years of work experience with processing large multi-modal datasets2
    • 2+ years of experience preparing large datasets for Deep Learning and Neural Network models
    • Experience with Python and Deep Learning frameworks such as PyTorch, Tensorflow, Keras, or MXNET
    • Experience with various evaluation techniques relating to distributions and models
    • Experience building scalable Machine Learning pipelines using KubeFlow, Flyte or similar for image and video modalities 
    • Experience with data collection, annotation, cleaning, and organization with tools such as LabelBox, SuperAnnotate, Scale AI, or V7

Preferred Qualifications

    • MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field
    • Experience with CI / CD automation using tools such as GitHub Actions or GitLab
    • Experience with audio, text, or 3D data modalities
    • Experience with vector databases and vector similarity search at scale
    • Experience with Active Learning
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Full-time
Mid Level
Deep Learning