Make intelligence open and accessible to all. Backed by Battery, Lightspeed and Sequoia.
About the role
Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data. As a member of the Data Team, your mission is to ensure that the data used to train our models meets a high bar for quality, reliability, and downstream impact. You will directly shape how our models perform on critical capabilities.
What they're looking for
- Proficiency in Python and building ML / LLM workflows. Must be comfortable debugging and writing scalable code
- Experience working with large datasets and automated evaluation or quality-checking systems
- Familiarity with how LLMs work and can describe how models are trained and evaluated
- Excellent communication skills with the ability to clearly articulate complex technical concepts across teams
More about this role
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.
Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.
As a member of the Data Team, your mission is to ensure that the data used to train our models meets a high bar for quality, reliability, and downstream impact. You will directly shape how our models perform on critical capabilities.
Working with world-class researchers on our pre-training teams, you’ll help turn fuzzy notions of “good data” into concrete, measurable standards that scale across large data campaigns. We’re looking for engineers who combine strong engineering fundamentals with a deep curiosity about data quality and its impact on model performance.
Own upstream data quality for LLM pre-training; as a specialist or generalist across languages and modalities
Partner closely with research and pre-training teams to...
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