AI/ML Job: Deep Learning Engineer

Brighter AI

Deep Learning Engineer at Brighter AI

Berlin, Germany 🇩🇪   (Posted Aug 5 2018)
About the company
Brighter AI, founded in July 2017 with the mission to redefine the limits of billions of existing and upcoming cameras. Offering Visual Reconstruction as a Service - based on state of the art deep learning - Brighter AI enhances images like never seen before; removing fog and rain or unpixelating license plates and faces. In addition we also help to protect privacy by smartly anonymizing images and videos.

Job position

Job description
As an employee, your role will be super important to the success of the startup.

You’ll implement and improve existing state of the art deep learning models

You’ll assist in building Deep Learning infrastructure

You’ll have close contact with the scientific Machine Learning community, you’ll scout and assess new approaches

You’ll take part in technical discussions and create new ideas within the existing Deep Learning research team

What we’ll give you:

High responsibility and direct impact on the company’s success

The option to own a part of the company you’re helping to build

Be a member of a dedicated team with a friendly and open mindset (basically, we are just really nice people)

Attractive work environment in one of the most exciting and innovative cities

Collaborative culture that thrives on innovation and new ideas

Rewards and recognition for great achievements

Skills & requirements
Must Have:

Expert knowledge in machine learning, focusing on deep neural networks, recurrent neural networks, convolutional networks and generative models

Familiarity with pythons scientific computing tools (scipy, numpy, matplotlib, ...) and deep learning libraries (Pytorch, Tensorflow)

The ability to read and understand scientific papers on state-of-the-art machine learning and computer science, as well as the ability to prototype and evaluate the ideas described in these papers

Confident mastery of Git

English or German speaking skills

Good to Have:

Experience in putting machine learning models into production

Personal projects showing your dedication and skills, for example, published papers, starred Github repositories or Kaggle achievements

Instructions how to apply
see the website
[ job website ]

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