Machine Learning Engineer (Computer Vision)

| Seattle
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Machine Learning Engineer (Computer Vision)
 
About the Role:
 
You will work closely with scientists, engineers, designers, and product managers to invent software prototypes for machine learning and computer vision technologies for the real estate industry. You will have the opportunity to:
  • Help create, build, deploy and test novel machine learning and computer vision platforms and algorithms.
  • Have an impact on shipping applications with large number of users
  • Help create, build, deploy and test novel machine learning and computer vision platforms and algorithms
  • Help define this new effort from the start
Responsibilities
  • Build and develop high performance and scalable machine learning features across complete ML pipeline 
  • Collaborate with scientists, product management and work with an engineering-focused, iterative team to build and establish product requirements 
  • Quickly prototype new demos and systems for important real estate assets (e.g., images and videos)
  • Build systems on top of existing machine learning and computer vision algorithms across Compass platforms, as well as third-party services 
  • Iterate and prototype rapidly
  • Be able to work as a backend/fullstack engineer if needed 
 
Requirements
  • Experience in building and training robust, complex machine-learning systems
  • Excellent at collaborating with a team to get work done
  • Comfortable building prototypes from scratch 
  • 1+ years of experience with deep learning and generative models 
  • PhD degree in Computer Science or a related field, or Masters with additional experience 
  • Ability to write efficient, clean, and reusable code in Python and C++ 
  • Familiarity with modern deep learning frameworks 
  • Strong communication and collaboration skills 
  • Ability and willingness to learn new technologies quickly
At Compass, our mission is to help everyone find their place in the world. This means we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. Our entrepreneurship principles bind us together and inform how we tackle the tremendous challenges ahead

cultivate. As an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone’s place. Our entrepreneurship principles bind us together and inform how we tackle the tremendous challenges ahead.


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