Member of Technical Staff - Pre-Training Data
Reflection AI · San Francisco, CA
Frontier labonsite
At a glance
Highlights
- Design sourcing and filtering for large-scale web, text, and code data.
- Run data ablations tracing dataset changes to model behavior.
- Publish open datasets and research advancing open AI community.
What they offer
- Salary and equity structured to recognize talent globally
- Stock options for all contributors
- Comprehensive medical, dental, vision, and life coverage
- Annual wellness allowance
- Lunch and dinner provided in the office daily
- 22 weeks paid parental leave
- Unlimited PTO in the U.S. and 30 days in the U.K.
Ideal candidate
Research-minded data scientist who loves curating web-scale datasets and cares deeply about open, responsible AI. You blend rigorous experimentation with clear communication and want your work to shape open foundation models.
Requirements
- Proficiency in Python and familiarity with PyTorch or JAX
- Experience debugging distributed workloads and writing scalable code
- Bachelor's degree or equivalent in Computer Science, Machine Learning, Physics, Mathematics or related field
- Clear written communication explaining complex technical ideas
- Strong grasp of probability, statistics, and ML fundamentals
- Experience curating, preprocessing and analyzing large-scale text or code datasets
- Background in data engineering or large-scale web data processing for ML
- Knowledge of data ethics, safety, and licensing frameworks for AI datasets
- visa sponsorship
- We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
Lab profile
About Reflection AI
Research lab making intelligence open and accessible for everyone to use, customize, and build on.
What they build
- Open foundation models
- Aligned general agents
- Enterprise AI deployments
Known for
- Frontier model pre-training
- Post-training and alignment
- Distributed training infrastructure
- Secure cloud platform foundations
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