Flower Labs

Machine Learning Engineer

• Join as a founding member of the Flower Frontier Model Team
• Build category-defining models that blend existing practices with decentralized learning methods
• Help build a reliable, maintainable and scalable software stack
• Produce world-leading open-sourced models integrated into new Flower Lab products
• Design, implement and optimize core components across data curation, evals, pre-training, post-training
• Diagnose and resolve GPU/kernel issues, memory/storage bottlenecks, and multi-node failures at scale
• Collaborate on the debugging of training instabilities and related issues
• Devise surrounding infrastructure, tooling, monitoring, and observability

Founding ML Engineer, Flower Frontier Model Team

Research Engineer

• Push the boundaries of what frontier AI models can be
• Build AI that blends cutting-edge techniques with Flower’s pioneering decentralized methods
• Play a critical role in building SOTA LLMs and foundation models within a small, high-impact team
• Shape every part of the scientific foundation of frontier models
• Be deeply hands-on, turning best ideas into working systems
• Collaborate with the team to scale effective approaches
• Produce world-leading models that are open-sourced and integrated into new Flower Lab products
• Develop methods for data curation, evals, pre-training, and post-training

Founding Research Engineer – Flower Frontier Model Team

• Push the boundaries of frontier AI models
• Build category-defining models with decentralized learning methods
• Shape the scientific foundation of frontier models
• Collaborate with a small, high-impact team composed of both research and engineering backgrounds
• Design and implement techniques across data curation, evals, pre-training, and post-training
• Release the first series of models that are world-leading and open-sourced

• Join as one of the founding members of the Flower Frontier Model Team, a new group at Flower Labs charged with building category-defining models.
• Build SOTA LLMs and foundation models within a small, high-impact team.
• Design, implement and optimize core components across the full spectrum of stages relevant to frontier model building: data curation, evals, pre-training, post-training.
• Collaborate on the debugging of training instabilities and related issues.
• Devise surrounding infrastructure, tooling, monitoring, and observability for large-scale LLM development.

Founding ML Engineer, Flower Frontier Model Team

Founding Research Engineer – Flower Frontier Model Team

Founding Research Engineer – Flower Frontier Model Team

Founding ML Engineer – Flower Frontier Model Team