
We help companies to improve machine learning models by curating vision data.
What they do: Data-centric AI tooling for computer vision (data curation, self-supervised pretraining, labeling, dataset management)
Founded: 2019 (spun out of ETH Zurich)
Founders / leadership: Matthias Heller (Co‑Founder & CEO), Igor Susmelj (Co‑Founder & CTO)
Reported funding: $10M (company-stated)
Employee count (snapshot): 31
Computer vision dataset quality and workflow automation for enterprises and research teams (industries: autonomous driving, robotics, healthcare, retail).
2019
Software Development
Total Funding: $10M
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Lightly AG is an ETH and HSG spin-off pioneering in machine learning and computer vision. Backed by Y Combinator and top-tier investors, our technology is used by global leaders in autonomous driving, medical imaging, and visual inspection.
With a small but sharp team in Zurich, we’re looking for analytical and driven Engineering Professionals to help us create tasks that replicate E2E Engineering Workflows.
The minimum expected time commitment for this position is 10 hours/week.
We are agnostic to the area of Engineering you're an expert of.
Tasks
Create tasks that replicate E2E sales workflows:
Create / acquire any necessary data required for the workflow;
Create tasks + decision points within the workflow;
Provide the solution to each decision point, accompanied by a justification for that solution;
Requirements
You’re a strong candidate if you:
Have at least 2-3 years of recent experience working at top companies with established Engineering processes
Are fluent in English (requirement)
Benefits
A front-row seat to how a YC-backed deep tech company is built
Direct exposure to the inner workings of startup leadership
Flexible working hours and the ability to shape your role over time
Competitive compensation tailored to experience and scope of work
Send us your CV . If you’ve handled similar tasks before, we’d love to hear specific examples.
We look forward to hearing from you!
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Have strong analytical and quantitative skills
Communicate clearly and precisely
Daily experience using LLMs
Daily experience with Engineering software