GAN Expert - Research Data Scientist (Yepic AI)

Team: Incubator - Engineering (Full-time)
Location: London, United Kingdom

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    Who are we?

    Yepic AI is building the world’s first rich media content generator, to enhance and empower the work of creatives in the media industry. We use new technologies like GANs to push the boundaries of creativity. The project is lead by a diverse team with backgrounds in computer vision and Data science. The project Lucas team has worked at Benevolent AI, Coretexica, Google Deepmind and a host of influential startups. We are a special task force of the sharpest minds creating groundbreaking tech that will transform how the world creates imagery and video and we want YOU.

    Who are we looking for?

    We are seeking a deep learning specialist with applied knowledge in computer vision tasks whos driven by discovery and curiosity. The ideal candidate will have a background in Academia and have previously worked in industry. You will ideally have written papers on Gan's (Generative Adversarial Networks) or computer vision related Topics. We would accept the right person on a part-time basis but you should be looking to make a jump into the private sector in the next 12 months.

    The job is on a full-time basis (but we would accept part-time), at our offices in West London.

    You will be responsible for our research efforts,  managing a group of Data Scientist and PHD students. While the role is very research heavy, a large chunk of your work will contribute to making the product a reality, primarily by designing and training deep learning systems and building useful products around them.  

    What we offer

    This is a chance to join a fully funded deep tech start-up with a unique opportunity to make a difference to the way we create content.

    Well paid senior role and the opportunity to get groundbreaking work published.

    28 days paid leave with the option to work remotely and buy extra holiday.

    Work in Founders Factory vibrant West London office, alongside other growing companies, with twice weekly lunches, as much beer, tea, coffee, biscuits and fruit as you can handle, and regular opportunities to meet and learn from Experts.

    Must haves

    • PhD in STEM subject;
    • 5+ years professional experience in machine learning;
    • Experience in computer vision/image classification/image generation tasks;
    • Expertise and Experience working with GANs
    • Advanced knowledge of Python (optimisation, data structures, algorithms, etc) and relevant libraries (TF, PyTorch, Pillow, Numpy, ...);
    • Experience prototyping and deploying machine learning systems using cloud infrastructure;
    • Track record of delivering end-to-end data science solutions, from data sourcing to ETL to analysis to presentation.

    Could this be you?

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