
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 Finance Professionals to help us translate complex finance concepts into AI-readable formats.
This role suits someone with a background in finance, economics, or engineering with experience in any of the following:
Corporate Finance
Private Equity / Venture Capital
M&A / Investment Banking
Asset Management
Accounting
The minimum expected time commitment for this position is 10 hours/week.
Tasks
You’ll be a good fit if you have 2-3 years of experience working at top firms in investment banking and experience in at least some of the following tools:
Requirements
You’re a strong candidate if you:
Are fluent in English
Have strong analytical and quantitative skills and are confident working with financial models and valuation frameworks
Communicate clearly and precisely
Are based in Zurich
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 and a short note about why this role excites you. 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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