Member of Technical Staff - Data Platform
Our Mission
Reflection’s mission is to build open superintelligence and make it accessible to all.
We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Foundations
Vision:
Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.
What This Team Does
Build and operate the core data systems and pipelines that power our research, training, and production environments. This platform enables high-velocity experimentation, reliable model development, and scalable production workflows by unifying ingestion, processing, and orchestration across the data lifecycle.
Design ingestion and orchestration patterns for both batch and streaming workloads.
Build scalable compute and storage foundations (formats, engines, runtimes) that support large-scale data processing.
Ensure reproducible pipelines through versioning, backfills, and isolated execution environments.
Provide trusted data quality, lineage, and governance signals so teams can make confident production decisions.
Maintain predictable cost and performance through guardrails, budgets, and continuous system tuning.
Enable a unified data layer that supports research, training, and production across the model development lifecycle.
About the Role
Build the core data systems and pipelines that power our research, training, and production environments. Design and implement reliable, scalable ingestion and orchestration patterns for batch and streaming workloads. Develop the storage and compute foundations that enable reproducible experimentation and high-velocity iteration. Drive data quality and governance standards that teams can trust for production decisions. Provide the foundational data layer that unifies ingestion, processing, and workflow management across model development.
What You'll Work With
Compute & Orchestration: Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub.
Storage & Analytics: Data lake and warehouse architectures, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake.
Metadata & Data Quality: Lineage systems, metadata management, Great Expectations, reproducibility systems.
Cost & Performance Management: Partitioning strategies, clustering, cost optimization, SLA-driven pipelines.
About You
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.
What We Offer:
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.