
11 - 50 employees
Founded 2023
đ€ Artificial Intelligence
đ Education
Artificial Intelligence âą Software âą Education
Flower Labs is a company that develops a friendly federated AI framework called Flower, which enables users to implement federated learning across various machine learning frameworks and programming languages. Flower aims to simplify the process of federated learning, allowing efficient distribution and execution of workloads across a multitude of clients. The platform is designed for scalability and usability, supporting diverse devices and cloud systems for research and production purposes.
đ December 17, 2025
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.
Docker
Linux
PyTorch
đ December 17, 2025
Founding ML Engineer helping to build AI models at Flower Labs. Work on decentralized methods and contribute to impactful technical projects.
Distributed Systems
Docker
Linux
Node.js
Python
PyTorch
đ December 17, 2025
Founding ML Engineer building category-defining AI models with Flower Labs. Collaborating in a high-impact team for frontier model development and release.
Distributed Systems
Docker
Linux
Node.js
Python
PyTorch
đ December 17, 2025
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.
Docker
Linux
PyTorch
đ December 13, 2025
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.
Docker
Linux
PyTorch
đ December 13, 2025
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.
Distributed Systems
Docker
Linux
Node.js
Python
PyTorch