Machine Learning Engineer

A promising machine Learning start-up is growing its deep learning team. The founding team is inspiring, with an incredibly successful entrepreneurial track record.

They’re developing hardware that will revolutionize on edge machine learning and have an extremely high chance of success.

This position will be responsible for developing and building extremely accurate deep learning models for computer vision and speech recognition. They’ll need to work in production.

You’ll:

Own the Machine Learning research and engineering efforts.
Build a team.
Create and deliver working deep neural networks in Tensorflow.
Define Machine Learning architecture best practices and keep up to date with the evolving opensource Deep Learning frameworks.
Contribute significantly to the growth and success of the company.

You’ll need:

MSc or PhD in Computer Science or related field
As much experience with Deep Learning as possible (Convolutional Neural Networks, RNNs, LSTM)
Strong Python skills.
Experience with TensorFlow, Caffe, Theano, Keras etc (one is fine)
Experience of building working Deep Learning architecture into production.
Willingness to work in a startup

Country: USC

City: Irvine

Contract: Permanent

Type: Machine Learning

Machine Learning Engineer application form

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