(Senior) Machine Learning Engineer in a fast-growing AI Startup
At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only. Learn more about us on our website.
We are a team of talented developers and researchers in Zurich and are backed by YCombinator. Every member of the team is going to have a massive impact.
Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.
We use a modern stack of:
- PyTorch, Python, Typescript, C++, React, NodeJS
- Docker, Kubernetes, Google Cloud Platform, AWS
Tasks
As a Machine Learning Engineer, you will be part of a team which solves the data annotation bottleneck with state of the art deep learning technology.
Particularly, you will get to:
- Work on our open-source python package for self-supervised learning: https://github.com/lightly-ai/lightly.
- Work on our on-premise solutions including many different computer vision tasks like object detection, segmentation, tracking, and more.
- Work on our sampling solutions, e.g. for active learning.
- All these tasks will include working with state-of-the-art technology such as self-supervised learning, active learning, and deep learning for computer vision in general.
- Participate in and hold paper sessions about the latest papers in the field
Requirements
Ideally, you 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 active learning.
- 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.
Benefits
We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible.
Interested? Contact us!
We look forward to getting to know you!
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