Deep Learning Scientist

Deep Learning Scientist

  • Location

    Boston, Massachusetts

  • Sector:

    AI & Machine Learning Research

  • Job type:


  • Salary:


  • Contact:

    Matthew Ferdenzi

  • Contact email:


  • Job ref:


  • Published:

    almost 2 years ago

  • Expiry date:


  • Startdate:


  • Consultant:


Deep Learning Scientist (C/C++, Graph Theory, top academic background)

We are a Boston based MIT Machine Learning Research spinout who believes that by harnessing the power of photonic materials, we would be able to overcome some of the biggest challenges which face the future of computer processing. We are looking for a Deep Learning Scientist (C/C++, Graph Theory, top academic background) to help us design and build the core Machine Learning technology which underpins our IP.

Currently, we are nearing thirty employees (based in central Boston) and as a Machine Learning Engineer / Software Engineer, you will work around a team from the top Universities & College's in the United States and from leading tech company backgrounds. We are looking for a Deep Learning Scientist who is keen to be challenged and apply their knowledge of Deep Learning to our technology - it's also a plus if you come with algorithm development experience. We recently were awarded near fifteen million dollars, giving us a strong runway for the proceeding number of years.

As a Deep Learning Scientist, you be able to join us as we accelerate the space of algorithm processing, Machine Learning / Deep Learning and circuit speed!

We can offer a Deep Learning Scientist:

  • A culture which drives self-development, innovation and collaboration
  • No bureaucracy, internal politics or red tape.
  • A place to be inspired and challenged on a daily basis
  • Projects which will advance research work at the intersection of Machine Learning / Deep Learning and Chip Processing.

Key skills include: Deep Learning Scientist, Machine Learning Engineer, C/C++, Python, Software Engineer, Drivers, Architecture, Design, Compilers, Machine Learning, Deep Learning, Neural Networks, DNNs, CNNs