Machine Learning Engineer
vor 3 Wochen
About Lightly AG
We are a team of talented developers and researchers in Zurich, Prague, and San Francisco, backed by YCombinator. Our mission is to help companies improve their deep learning models by identifying and working with the most relevant samples only.
We use a modern stack of technologies, including PyTorch, Python, Typescript, C++, Rust, React, NodeJS, Docker, Kubernetes, Google Cloud Platform, and AWS.
Job Description
We are looking for an experienced engineer with a passion for machine learning and computer vision. As a Machine Learning Engineer, you will contribute to train and optimize state-of-the-art computer vision models to run on various hardware for real-time applications.
Your tasks will include:
- Designing, training, and improving machine learning models for embedded devices, considering 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 technology 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 someone with:
- A strong background in computer science, engineering, or a related field.
- At least 2 years of industry experience in deep learning and computer vision, with experience in PyTorch.
- Proficiency in Python.
- A willingness to learn Rust and C++. Willingness to learn software engineering best practices to contribute to our product codebase.
- A strong passion for new technologies and interest in keeping up with the latest technologies and publications in deep learning.
- A creative, collaborative, and product-focused mindset.
What We Offer
We offer an attractive cash- and equity package for you to become part-owner of Lightly AG. Remote work is also possible.
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