Member of Technical Staff - Data Platform

The role

This person will build and operate core data systems and pipelines for research, training, and production environments. They will design ingestion and orchestration patterns and develop storage and compute foundations.

What you will do

• Build and operate core data systems and pipelines.
• Design and implement reliable, scalable ingestion and orchestration patterns for batch and streaming workloads.
• Develop storage and compute foundations for reproducible experimentation.
• Drive data quality and governance standards.
• Provide the foundational data layer that unifies ingestion, processing, and workflow management.
• Design ingestion and orchestration patterns for both batch and streaming workloads.
• Build scalable compute and storage foundations.
• Ensure reproducible pipelines through versioning, backfills, and isolated execution environments.
• Provide trusted data quality, lineage, and governance signals.
• Maintain predictable cost and performance through guardrails, budgets, and continuous system tuning.

Required qualifications

• 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.
• Thrive in a high-agency, fast-paced environment; bias toward action and impact.
• Excited about zero to one challenges — building new systems rather than maintaining legacy ones.
• Collaborative, clear communicator, comfortable working across research and infrastructure boundaries.
• Motivated by creating the trusted data backbone for the world's most capable open-weight AI systems.

Benefits

• Top-tier compensation: Salary and equity.
• Stock options.
• Comprehensive medical, dental, vision, and life.
• Annual wellness allowance.
• Lunch and dinner are provided in the office daily.
• 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
• Unlimited paid time off in the U.S.
• 30 days paid time off in the U.K.
• Sponsorship support for visas.
• Regular off-sites, happy hours, and team celebrations.

Before you apply

• This position may require access to technology or source code subject to the U.S. Export Administration Regulations.
• Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export contr

About the company

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. They build open models that let anyone control their intelligence and help shape the future of AI.