Machine Learning Engineer
vor 1 Tag
We are a team of talented developers and researchers at Lightly AG, a leading ETH spin-off in the field of machine learning. Our mission is to help companies improve their deep learning models by identifying and working with the most relevant samples only.
We are backed by YCombinator and top investors, and our software solutions are built on a modern stack of PyTorch, Python, Typescript, C++, Rust, React, NodeJS, Docker, Kubernetes, Google Cloud Platform, and AWS.
Job DescriptionWe are seeking an experienced Machine Learning Engineer to join our core ML team. As a key member of our team, you will work mainly on our open-source package for self-supervised learning and similar internal frameworks.
Your responsibilities will include:
- Adding support for finetuning pretrained models for downstream tasks, including object detection, segmentation, tracking, and more.
- Keeping up with current research in self-supervised learning and multi-modal models.
- Participating in and holding paper sessions about the latest papers in the field.
- Representing the company at machine learning conferences and engaging with the community.
You will have the opportunity to work with state-of-the-art technology, including self-supervised learning, model distillation, vision language models, and deep learning for computer vision in general.
RequirementsTo be successful in this role, you should have:
- MSc or PhD in Computer Science, Engineering, or a related field.
- Experience in deep learning and computer vision, ideally in self-supervised learning and PyTorch.
- Excellent Python coding skills and knowledge of software engineering best practices.
- Experience with building and shipping software solutions.
- Strong passion for new technologies and interest in keeping up with the latest technologies and publications in deep learning.
We offer an attractive cash- & equity package for you to become part-owner of Lightly AG. Remote work is also possible.
Interested? Contact us to learn more about this exciting opportunity.
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