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Machine Learning Scientist

Machine Learning Scientist

  • Location

    Waltham, Massachusetts

  • Sector:

    AI & Machine Learning Research

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Markus Edmunds

  • Contact email:

    medmunds@understandingrecruitment.com

  • Job ref:

    BBBH6244_1588595989

  • Published:

    5 months ago

  • Expiry date:

    2020-06-03

  • Startdate:

    ASAP

  • Consultant:

    #

Machine Learning Scientist (Neural Networks, Optimization, TensorFlow)

We are currently seeking a Machine Learning Scientist (Neural Networks, Optimization, TensorFlow) to join an innovative MIT/MIT Lincoln Laboratory spin-off that develops machine learning-based intellectual property to enable higher throughput connections for 5G, Wi-Fi, and WiGig smartphones and base stations while simultaneously reducing energy consumption. As a Machine Learning Scientist in our company, you will join us in continuing our path of technological breakthroughs, expanding to artificial intelligence based on a new DNN (deep neural network) algorithm and platform.

As a VC-funded startup in Greater Boston, we are keen on bringing in talented researchers and scientists to aid in evaluating our novel algorithm in a variety of DNN applications and topologies and proposing improvements. Our patented Linearization IP enables smartphone users to experience a higher signal quality with wider coverage and faster data download while draining significantly less battery power.

An ideal Machine Learning Scientist will have a strong understanding of Deep Neural Networks as well as experience with optimization.

We can offer a Machine Learning Scientist:

· A chance to develop novel neural network algorithms for our groundbreaking platform

· A culture rooted in the "knowledge worker," where everyone is a highly skilled and valued member of the team

· Intellectual challenges that you would not experience in most companies.

· No corporate bureaucracy!

Key Skills: DNN, Deep Neural Network, FFNNs, Feed Forward Neural Networks, RNN, Recurrent Neural Network, ANN, Artificial Neural Network, Long Short Term Memory, LSTM, CNN, Convolutional Neural Network, Research, Optimization, Machine Learning, Deep Learning, Python, C/C++, TensorFlow, PyTorch, Caffe, Linear Algebra, Nonlinear Dynamics