Remote Jobs at Flower Labs
Find your next remote opportunity · 6 Open Positions

Flower is the leading open-source framework for training better AI on distributed data using federated learning and other privacy-enhancing technologies.
Industry leaders use Flower to easily collaborate on model training and are starting to transform high-value verticals like telecommunications (Nokia), healthcare (Korean AI Center for Drug Discovery), finance ([stealth]), automotive (Porsche), and personal computing (Brave).
All AI today is based on public data, imagine where AI could be if it used all of the worlds’ distributed private data.

Founding ML Engineer, Flower Frontier Model Team
Founding ML Engineer helping to build AI models at Flower Labs. Work on decentralized methods and contribute to impactful technical projects.

Founding Research Engineer – Flower Frontier Model Team
Founding Research Engineer role at Flower Labs to build pioneering AI models blending decentralized methods and state-of-the-art techniques. Join a collaborative startup tackling frontier AI training paradigms.

Founding ML Engineer – Flower Frontier Model Team
Founding ML Engineer building category-defining AI models with Flower Labs. Collaborating in a high-impact team for frontier model development and release.

Founding Research Engineer – Flower Frontier Model Team
Founding Research Engineer at Flower Labs building category-defining AI models with decentralized methods. Collaborating within a high-impact team to advance the science and implementation of frontier AI.

Founding ML Engineer – Flower Frontier Model Team
Founding ML Engineer in Flower Labs' Frontier Model Team pushing the limits of open-source AI. Building scalable AI models using decentralized applied techniques across various domains.

Founding Research Engineer – Flower Frontier Model Team
Founding Research Engineer on the Flower Frontier Model Team developing category-defining AI models. Opportunity to shape scientific foundation and collaborate with experts in decentralized learning methods.
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