Member of Technical Staff - Data Platform
New York, NY • FullTime
Posted 10d ago
About the job
Reflection is a research lab dedicated to making intelligence open and accessible. We are building open models that empower individuals to control their intelligence and shape the future of AI. This role focuses on building and operating the company-wide foundations platform, providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling. The team designs and implements core data systems and pipelines that power research, training, and production environments, enabling high-velocity experimentation, reliable model development, and scalable production workflows by unifying ingestion, processing, and orchestration across the data lifecycle.
Responsibilities
- Design ingestion and orchestration patterns for batch and streaming workloads.
- Build scalable compute and storage foundations (formats, engines, runtimes) for large-scale data processing.
- Ensure reproducible pipelines through versioning, backfills, and isolated execution environments.
- Provide trusted data quality, lineage, and governance signals for production decisions.
- Maintain predictable cost and performance through guardrails, budgets, and continuous system tuning.
- Enable a unified data layer supporting research, training, and production across the model development lifecycle.
Requirements
- Strong data engineering background with experience shipping production-grade pipelines at scale.
- Experience designing and owning end-to-end data systems handling large-scale batch and streaming workloads.
- Comfortable debugging complex pipeline failures, optimizing for cost and performance, and maintaining data quality.
- Ability to thrive in a high-agency, fast-paced environment with a bias toward action and impact.
- Excited about building new systems from scratch.
- Collaborative and clear communicator, comfortable working across research and infrastructure boundaries.
- Motivated by creating a trusted data backbone for AI systems.
Benefits
- Top-tier compensation (salary and equity)
- Stock options
- Comprehensive medical, dental, vision, and life insurance
- Annual wellness allowance
- Provided lunch and dinner in the office
- 22 weeks paid parental leave
- Unlimited paid time off (US) / 30 days paid time off (UK)
- Visa sponsorship support
- Regular off-sites, happy hours, and team celebrations