Member of Technical Staff - Pre-Training Data
Reflection is an AI research lab building open frontier models and a full AI stack for developers, enterprises, and public-sector users.
Funding history
About Reflection
Reflection develops open-weight AI models, open-source software for customizing and running agents, AI-factory infrastructure, and related solutions. Its current research emphasizes large language models, reinforcement learning, and agentic reasoning.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement techniques to source, curate, and filter large-scale web, text, and code data. You will develop data-quality analyses, run data experiments, evaluate dataset changes, address privacy, safety, and licensing risks, and publish research and datasets.
Requirements
- Proficiency in Python
- Familiarity with at least one deep learning framework, such as PyTorch or JAX
- Experience debugging distributed workloads and writing scalable code
- Bachelor’s degree or equivalent experience in a related discipline
- Clear written communication and ability to explain complex technical ideas
Responsibilities
- Design and implement techniques for sourcing, curating, and filtering large-scale web, text, and code data
- Develop data-quality metrics and analyses for coverage, diversity, and representativeness
- Design and run data experiments with infrastructure teams
- Investigate and mitigate data privacy, safety, and licensing risks
- Evaluate dataset changes through ablations and scaling experiments
- Publish and present research, code, datasets, and insights
Benefits
- Stock options
- Comprehensive medical, dental, vision, and life insurance
- Annual wellness allowance
- Daily office lunch and dinner
- 22 weeks of paid parental leave
- Unlimited paid time off in the U.S.
- 30 days of paid time off in the U.K.
- Visa sponsorship support
- Regular off-sites, happy hours, and team celebrations