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Senior Research Scientist – Deep Learning – Computer Vision

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Senior Research Scientist | Deep Learning | Computer Vision

Mountain View, California, United States (Hybrid)

We are looking for Senior Research Scientists who want to have a direct impact on real-world problems. You will be able to shape a ground-breaking product that will significantly improve people’s lives for years to come.

This is a super-experienced team spearheaded by a true master in their field and as a Senior Research Scientist within this talented unit, you would still be an IC and take ownership of important projects however you would also direct and steer other people to achieve greatness with the goal of building and shipping great products that solve real problems for real people. This is an organization that champions continuous learning and this stems from the top down where everyone has a high-risk, high-reward mentality.

 

The focus:

  • You will be designing, developing, and scaling novel Deep Learning architectures.
  • You will also need to train, test and fine-tune models, and refine data so that you can deploy these models at scale with high efficiency.
  • Analyze your results, and continuously tune & improve the accuracy and speed of multiple Machine Learning – Computer Vision focused algorithms
  • Collaborate with multiple teams to bring the product vision to life

 

The skills required:

  • Ph.D. or MSc with at least 4 years of industry experience.
  • Impeccable coding skills – clean, manageable code is key.
  • Excellent production-focused Python & C++.
  • PyTorch experience.
  • Experience working on complex Computer Vision & Machine Learning problems with a product focus, specifically within 3D Computer Vision.
  • Someone who truly takes pride in their work and wants to push the boundaries of what is achievable within AI.

 

If you are genuinely motivated to help inspire & develop others around, you as well as being passionate about furthering yourself by learning outside of your comfort zone then this is certainly the right role for you.

 

For more information please reach out to [email protected]

Contact:
John Stephenson

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