Founding Research Engineer – Flower Frontier Model Team

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🕒 December 13, 2025

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

⏰ Full Time

🟠 Senior

📚 Research Engineer

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Flower Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

📚 Education

Artificial Intelligence • Software • 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.

📋 Description

• Push the boundaries of what frontier AI models can be • Help invent and build the training paradigms that will define the next decade of AI • Shape every part of the scientific foundation of frontier models • Turn best ideas into working systems and collaborate with the team to scale approaches • Design and implement techniques and run experiments across various stages relevant to frontier model building

🎯 Requirements

• Deep understanding of recent architectures and training methodology used for LLMs and foundation models • Experience with pre-training or post-training (SFT, RLHF, DPO, reward modeling, or equivalent) • Strong grounding in optimization techniques: AdamW variants, LR scheduling, mixed precision, stabilization methods, and scaling behaviors • Strong experimental design skills: ablations, controlled comparisons, scaling experiments • Fluency in PyTorch or JAX for implementing research ideas efficiently • Ability to collaborate effectively with both research-oriented and engineering-oriented colleagues • Ability to turn conceptual research directions into runnable prototypes that integrate into the training system • Familiarity with common tools (Linux command line, git, Docker, …) • Openness to adopting new tooling • Strong written English • Open, honest and transparent communication skills

🏖️ Benefits

• Push the boundaries of open-source AI • Contribute to building category-defining models • Collaborate with experts in a fast-paced, demanding environment