Computer Vision Engineer for Deep Learning Innovations

vor 1 Monat


Zürich, Zürich, Schweiz Lightly AG Vollzeit

Overview


At Lightly AG, a leading ETH spin-off in Zurich, we develop cutting-edge software solutions to enhance deep learning models. Our customers face the challenge of dealing with rapidly growing data sets that surpass human tagging and computational power capabilities.



Salary


We offer an attractive cash-& equity package, including a competitive salary range of $120,000 - $180,000 per year, depending on experience, for you to become a part-owner of Lightly AG.



Job Description


As a seasoned Computer Vision Engineer, you will contribute to designing, training, and optimizing state-of-the-art computer vision models for real-time applications on various hardware platforms. Your tasks will include:



  • Designing, training, and improving machine learning models for embedded devices, taking into account platform limitations.
  • Developing frameworks to evaluate and iterate on machine learning models.
  • Staying up-to-date with current research in self-supervised learning and multi-modal models.
  • Contributing to our product codebase written in Rust, C++, and Python.
  • Working with state-of-the-art technologies such as self-supervised learning, model distillation, vision-language models, and deep learning for computer vision.
  • Participating in and holding paper sessions about the latest papers in the field.


Requirements


We are looking for a candidate with:



  • A Master's or Ph.D. degree in Computer Science, Engineering, or a related field.
  • At least 2 years of industry experience in deep learning and computer vision, with expertise in PyTorch.
  • Proficiency in Python.
  • The willingness to learn Rust and C++ and software engineering best practices to contribute to our product codebase.
  • A strong passion for new technologies and interest in keeping up with the latest developments and publications in deep learning.
  • A creative, collaborative, and product-focused mindset.


Benefits


We offer a comprehensive benefits package, including remote work options and opportunities for professional growth and development.



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