Member of Technical Staff - Pre-Training

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

• Research and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.

• Design and run scientific experiments to advance our understanding of scaling large language models and data efficiency.

• Implement state-of-the-art methods from the deep learning literature.

• Lead small research projects independently while collaborating on larger initiatives

• Optimize the training infrastructure for efficient scaling.

• Contribute across the entire stack, from low-level optimizations to high-level model design.

• Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.

• Solid software engineering capabilities with experience building large-scale systems.

• Experience with large-scale ETL workflows and training data preparation.

• Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.

• Proficient in Python and deep learning frameworks (PyTorch preferred).

• Navigate trade-offs between research objectives and practical engineering realities.

• Thrive in a fast-paced, high-agency startup environment with bias toward action.

• Strong communication capabilities and comfort working collaboratively.

• Passionate about advancing the frontier of intelligence.