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What we need to see:
Master's, or preferably a PhD degree in Computer Science or a related field (or equivalent experience).
Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
5+ years of relevant industry experience.
Strong background in computer vision and deep learning.
Excellent programming skills in Python and C/C++.
Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release): proven track record developing, testing, and releasing production-grade, complex software.
Ability to develop code in Unix/Linux environments.
Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
Strong collaboration skills to partner with algorithm designers, application developers, and infrastructure and MLOps teams.
Ways to stand out from the crowd:
Previous experience with 3D computer vision, object reconstruction, scene reconstruction, and computer graphics.
Proficiency with CUDA.
Ability to convert research into product.
You will also be eligible for equity and .
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