Member of Technical Staff - Data Platform

B Capital; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Top-tier compensation

Stock options

Health & wellness

Meals provided

Parental leave

Unlimited vacation

Visa sponsorship

Team off-sites

Job summary

Reflection is a research lab building open models and data foundations to accelerate AI innovation. We design scalable data platforms powering research, training, and production, with a focus on reproducibility, governance, and cost efficiency.

Join a high-impact team that builds from the ground up, partnering across research and infrastructure to enable rapid experimentation and reliable, scalable data workflows.

Qualifications

• Strong data engineering background with production-scale pipelines.
• Experience designing end-to-end data systems for batch and streaming workloads.
• Ability to debug complex pipelines and optimize cost and performance.
• Comfortable working across research and infrastructure boundaries.
• Motivated to build new systems rather than maintain legacy ones.

Responsibilities

• Build and operate core data systems and pipelines powering research, training, and production environments.
• Design and implement reliable ingestion and orchestration for batch and streaming workloads.
• Develop storage and compute foundations enabling reproducible experimentation.
• Drive data quality and governance standards for production decisions.
• Provide unified data layer unifying ingestion, processing, and workflow management.

Skills

Data engineering

Production-grade pipelines

End-to-end data systems

Data quality

Cost optimization

Collaborative communication

System design

Tools

Spark

Flink

Beam

Airflow

Dagster

Kafka

Pub/Sub

BigQuery

Snowflake

Job description

Our Mission

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

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 make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future 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 our talent globally.

• Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.

• Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.

• Meals: Lunch and dinner are provided in the office daily.

• Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.

• Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.

• Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.

• Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice: 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 control laws, which may require the Company to seek government authorization.