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Reflection
New York City, New York, United States; San Francisco, California, United States; London, England, United Kingdom
Source: Reflection careers · View original posting
From Reflection's posting. “We” and “our” refer to the employer.
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
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.
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.
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.
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.
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.
Salary and equity structured to recognize and retain our talent globally.
Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
Comprehensive medical, dental, vision, and life, with an 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. and 30 days in the U.K.
We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
We have regular off-sites, happy hours, and team celebrations.
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.
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