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2024 PhD Residency - Tapestry - Artificial Intelligence - Computer Vision and Deep Learning

X

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

THE FOUNDATION OF AN AMAZING JOURNEY

Our goal at X is to make the world a radically better place. In order to do that we seek fresh unexpected perspectives, from different fields, and that’s why we’re excited about you. 

Life here isn’t easy, but it’s fun. We’re trying to build things most people can’t even imagine, and we’re doing it with the hope of making a huge, positive impact on the world. You’ll be embedded into a moonshot project, where you’ll partner with team members to solve key challenges. 

This isn’t your ordinary internship. You’ll be positively challenged and pushed professionally, in ways that you may have never experienced. If this excites you - keep reading.

ABOUT TAPESTRY

We are a team working to rapidly decarbonize the electric grid. Our mission is to help create a shared understanding of what is happening on the grid for everyone who is involved in building, managing and using it. More about Tapestry here.

DURING YOUR INTERNSHIP YOU CAN EXPECT:

  • To get paid competitively and with Google benefits
  • To be part of a lively community of other Interns and Residents 
  • To addend colloquium and discussions with team leads from across Google, DeepMind and external organizations

DETAILS:

  • Laptops and equipment will be provided
  • Duration: a flexible 3 months to 6 months program based on project team needs and your availability

REQUIREMENTS:

  • Must be currently enrolled in a PhD program and working towards completing your PhD degree

RESPONSIBILITIES: 

  • Computer vision model development: Data curation, training, and validation of new computer vision models
  • Working closely with team mentors to monitor, diagnose and improve existing perception models
  • Participate in sprint cycle alongside teammates

MINIMUM QUALIFICATIONS:

  • Enthusiasm for learning about climate change and making an impact on decarbominzing the electric grid!
  • Current PhD student with experience in applying deep learning computer vision on real use cases end to end (everything from data ingestion to model validation and deployment).
  • Fluency with python and ML frameworks such as TensorFlow or Jax. 

PREFERRED QUALIFICATIONS:

  • Experience with object detection and keypoint models.
  • Depth estimation: experience with monocular and/or stereo depth estimation
  • Experience with structure from motion and optical flow algorithms
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Confirmed 14 hours ago. Posted 15 days ago.

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