Train AI on distributed data
Founding Research Engineer – Flower Frontier Model Team
Location
California + 1 moreAll locations: California, New York
Posted
87 days ago
Salary
Not specified
Job Description
Job 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
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