Research Data Scientist (nate)

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

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    About nate

    nate is a venture-backed artificial intelligence startup based in London and New York, founded in 2018 by Albert Saniger and incubated with Founders Factory. nate's neural network uses deep learning and natural language processing techniques to read web code and transact online on behalf of users. After gaining traction from multiple verticals, we are expanding our team to provide scalable solutions to our business partners in fashion, travel, and media. In other words: we’re hiring!

    About the role

    First and foremost, you don’t have to call yourself a Research Data Scientist. Do you prefer Neural Networks Boss? Head of Avocado Toasts? Happy Hour Manager? Director of Emotional Intelligence? You name it. If you can back it up, we’ll agree. We call this the absolute work title freedom. And we’re proud of it. What you do need to do is to help us build a killer business. This means creating machines that automate, improve or replace old-fashion processes. It also means working with team of scientists and engineers who are as passionate about the future of commerce and artificial intelligence as we are. And it also means being an equity-holder, a doer, a risk-taker, a leader and an example to others.

    About you

    Look, we’re not looking for Superman; we’re looking for Deadpool. Superman is great at everything; Deadpool is good enough, at enough things, to change the world. Wonder Woman is even cooler than Deadpool. We heard she was a Research Scientist before discovering her superpowers. The point is: we want you to help us save the world, one neural network at a time. This is what we think you’ll need:

    - PhD or Masters Degree in a computational, numerical or algorithmic subject
    - Experience in research and design of deep learning architectures including recurrent neural networks
    - Understanding of Natural Language Processing and Neural Machine Translation
    - Ability to critically review academic publications and set a research direction
    - Help guide the implementation of such publications where needed
    - Familiarity with deep learning framework like Keras, TensorFlow, Pytorch
    - Good knowledge of Python
    - Ability to communicate technical information to non-technical audiences
    - Creativity in problem solving and good interpersonal skills
    - Openness to help teammates grow and achieve their goals


    - Absolute work title freedom
    - Personal growth Fridays
    - Massage therapy sessions
    - Group guided meditations
    - Team building trips
    - Global AI events and conferences
    - Coffee, tea, fruit and snacks
    - Unlimited vacation days
    - Competitive compensation

    If you’re not sure if this role is for you or you just want to chat, send us a quick note to We don’t bite! Also if you’re ever in the mood to kill time, our website is much more fun than Instagram. Check out our company values at

    Could this be you?

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