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Lead Software Engineer (Python, Deep Learning Tools)

Lead Software Engineer (Python, Deep Learning Tools)

  • Location

    Mountain View, California

  • Sector:

    Machine Learning Engineering

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Matthew Ferdenzi

  • Contact email:

    mferdenzi@understandingrecruitment.com

  • Job ref:

    ----_1606914854

  • Published:

    5 months ago

  • Expiry date:

    2021-01-01

  • Consultant:

    #

Lead Software Engineer (Python, Deep Learning Tools)

We are an MIT spinout who are tackling an industry-wide problem within computer processing. From our research, we believe that our specific technology will bypass the limits of next-gen CPUs using a different approach to processing Deep Neural Networks. Currently, we are 50 people strong and are soon to be entering a rapid stage of growth, as we recently raised over $40 million dollars in our Series A from leading US VCs.

We are looking for a Lead Software Engineer to join our team who has strong rooted skills in creating high quality, robust production code whilst ideally having worked in a Machine Learning environment. As a Lead Software Engineer, you will build unique Machine Learning tools and ship them alongside their revolutionary hardware. The algorithms that go into these ML tools will come from their industry-leading ML/DL Scientists who are working at the intersection of Deep Learning and Optical AI Accelerators.

As a Lead Software Engineer, you will be one of our high-impact initial hires within our second office located in the Bay area as we rapidly scale.

What we can offer a Lead Software Engineer:

· An opportunity to work with our collaborative research team on novel work that will revolutionize modern-day computing as we know it.

· A culture of openness and collaboration - we are all working together under a shared vision.

· Excellent benefits.

Key skills include: Deep Learning Engineer, Machine Learning Software Engineer, TensorFlow, Keras, Pytorch, Deep Neural Networks, DNNs, CNNS, LSTMS, Research, Production Code, Software Engineer, Deep Learning Engineer.