Member of Technical Staff Data Platform
ReflectionVisit Reflection website
Reflection is an AI research lab building open frontier models and a full AI stack for developers, enterprises, and public-sector users.
New York, United States
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
About the Role
You will design and implement ingestion and orchestration for batch and streaming workloads. You will build scalable storage and compute foundations, maintain reproducible pipelines, establish data quality and governance standards, optimize cost and performance, and provide a unified data layer for model development.
Requirements
- Data engineering experience delivering production-grade pipelines at scale
- Experience designing and owning end-to-end data systems
- Experience with large-scale batch and streaming workloads
- Ability to debug pipeline failures and optimize cost and performance
- Data quality experience
- Cross-functional communication skills
Responsibilities
- Design ingestion and orchestration patterns for batch and streaming workloads
- Build scalable compute and storage foundations for large-scale data processing
- Ensure reproducible pipelines through versioning, backfills, and isolated execution environments
- Provide data quality, lineage, and governance signals
- Manage cost and performance through guardrails, budgets, and system tuning
- Build a unified data layer for research, training, and production
Benefits
- Stock options
- Medical, dental, vision, and life insurance
- Annual wellness allowance
- Daily in-office lunch and dinner
- 22 weeks of paid parental leave
- Unlimited paid time off in the U.S.
- 30 days of vacation in the U.K.
- Visa sponsorship support
- Regular off-sites, happy hours, and team celebrations