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Senior

Research Scientist

  • New York

  • $

    129,000 Per Year

  • Permanent

Reference: 19221

Description

The Opportunity:

As a member of our Research Team, you will tackle research problems with non-existent solutions through a process of prototyping, implementation, measurement, and iteration. You'll work closely with members of our Applied Machine Learning team to improve models and bring products to market based on your research. You would report to our CEO.

You help us kick off work in new domains for Clarifai or add new capabilities to existing product lines. We will look to you to apply your past hands-on experience with deep learning. You will continue to learn about advances in the field by reading papers and perhaps attending conferences. Your work and knowledge about the field will directly impact Clarifai's product roadmap.

Important for the job is the ability to work in different modes:

  • skilled in rapid prototyping and quick experimentation
  • ability to write code that others can understand, adopt, and extend

Research scientists are expected to follow the best engineering practices as appropriate for the stage of work, such as tracking work in source control, giving and receiving code reviews, writing tests for your code.

We are looking for someone motivated by having their ideas and creations out in the world in the hands of users and who shares our excitement about the potential of machine learning to positively transform our world. We value a collaborative, inclusive environment and seek those who are skilled at sharing knowledge inside and outside of Clarifai.

Impact:

As one of Clarifai's Senior Research Scientists, you will have impact within the developer community, machine learning field, and on Clarifai's business by using state-of-the-art machine learning tools, assisting with our innovation engine, and transferring your deep learning knowledge to others at Clarifai.

Requirements:

  • 3+ years of hands-on experience crafting and experimenting with neural networks, machine learning techniques and computer vision
  • Published Research papers are a plus
  • PhD in Computer Science or any related field
  • Fluent with using a neural network framework such as TensorFlow, Caffe, Torch, or Theano and understanding how back-propagation works
  • Fluent with Python, as well as experience with packages such as NumPy, pandas, and PyCUDA.
  • Experience with CUDA, search infrastructure, or GO language are a bonus
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Consultant

Adrian Kinnersley