Senior Data Scientist / Research Engineer (Open AI Data Systems)

reflection • United State

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AI Summary

Design and implement scalable data sourcing, curation, and filtering techniques for large-scale web, text, and code datasets. Develop data quality metrics and analyze coverage, diversity, and representativeness while ensuring responsible, ethical, and safe AI data usage. Collaborate with research and infrastructure teams to scale data systems and publish impactful research in open AI.

Key Highlights

Design and implement large-scale data sourcing, curation, and filtering techniques for AI models

Develop data quality metrics and analyze dataset coverage, diversity, and representativeness

Investigate and mitigate data risks (privacy, safety, licensing) for responsible AI use

Key Responsibilities

Design and implement techniques for sourcing, curating, and filtering large-scale web, text, and code data

Develop data quality metrics and analyses to measure coverage, diversity, and representativeness across sources

Collaborate with infrastructure teams to scale data systems efficiently and reproducibly

Investigate and mitigate data risks (privacy, safety, licensing) to ensure responsible AI data use

Evaluate dataset changes through ablations and scaling experiments, tracing downstream effects on model learning

Publish research, datasets, and insights to advance the open AI community

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Technical Skills Required

Python Deep Learning Frameworks (PyTorch/JAX) Distributed Systems

Benefits & Perks

Top-tier compensation with salary and equity

Stock options for all contributors

Comprehensive medical, dental, vision, and life insurance with wellness allowance

Lunch and dinner provided daily

22 weeks paid parental leave for all new parents

Unlimited paid time off (U.S.) / 30 days (U.K.)

Visa sponsorship for exceptional talent

Regular team-building events and off-sites

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Nice to Have

Strong grasp of probability, statistics, and ML fundamentals

Experience with curation, preprocessing, and analysis of large-scale text or code datasets

Background in data engineering, dataset construction, or large-scale web data processing

Experience evaluating or improving training data quality

Knowledge of data ethics, safety, and licensing frameworks for AI datasets

Contributions to open datasets, research publications, or data tooling

PhD in Computer Science, Machine Learning, Physics, Mathematics, or related discipline

Job Description

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.

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