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Deep Learning Researcher

Deep Learning Researcher

  • Location

    Boston, Massachusetts

  • Sector:

    AI & Machine Learning Research

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Matthew Ferdenzi

  • Contact email:

    mferdenzi@understandingrecruitment.com

  • Job ref:

    BBBH6244_1566223904

  • Published:

    11 months ago

  • Expiry date:

    2019-09-18

  • Startdate:

    ASAP

  • Consultant:

    #

Deep Learning Researcher (Leading MIT Spinout - NeurIPS, ICML, ECML needed)

Our team hails from a top research lab at MIT, where we have conducted research within a field which has potential to change the face of technology as we know it. Imagine a world where the drain of computer processing power is a fraction of the drain it causes today. As a result of our research within Deep Learning, the speed of light and applied physics we will be able to disrupt one of the important and impactful areas of technology.

We are a tier-one invested startup [recently awarded fifty million dollars in funding] and have an award winning team which will challenge, push and inspire you on a daily basis. Of course, as Deep Learning Researcher you could easily go to one of the big tech companies....That being said, we are looking for individuals who do not NOT want to be a cog in a very large machine, DO want to have massive impact on the future of tech and ARE hugely ambitious.

The ideal candidate will have come from a PhD / Post Doc background and has published papers at leading conferences. As a Deep Learning you will be passionate about staying relevant in the world of Deep Learning and Mathematics.

We can offer a Deep Learning Researcher :

  • An environment only a number of startups in the US can offer.
  • To be a part of research which has the potential to change face of technology.
  • A place where you will have an impact, not to be part of a corporate machine.
  • An academic culture, though in a commercial surrounding.

Key skills include: Deep Learning Scientist, Machine Learning Engineer, Python, Software Engineer, Deep Learning models, LSTMs, GANS, DNNs, Neural Networks, NeurIPS, ICML, ECML, ICLR.