Reflection

Build the evaluation infrastructure that researchers use to measure model capabilities, guide pre-training decisions, and assess release readiness. You’ll develop distributed execution systems, evaluation abstractions, performance optimizations, and researcher-facing tools for reliable, reproducible results.

Build the technical foundation for Reflection AI’s compliance program by automating controls, evidence collection, monitoring, and GRC workflows. This role translates regulatory and security framework requirements into scalable engineering solutions across security, privacy, data governance, and trade compliance.

Lead the design of large-scale multilingual data pipelines and experiments that improve the multilingual capabilities of open large language models. This role combines data engineering, evaluation, and research across high- and low-resource languages.

Build secure, isolated infrastructure that enables high-consequence AI safety evaluations and informs release decisions for open models. This high-ownership role combines Python software engineering, platform security, sensitive-data handling, and evaluation tooling.

Build the foundational data platform powering Reflection’s research, training, and production workflows. You’ll design scalable batch and streaming pipelines, compute and storage systems, and trusted data quality and governance capabilities from the ground up.

The Manager of Identity & Access Management at Reflection will architect and operate cutting-edge identity infrastructure to secure AI research environments against sophisticated threats.

Build and operate web-scale crawling infrastructure that continuously collects and processes content from billions of URLs. You’ll work with researchers and infrastructure teams to improve the quality, coverage, freshness, and efficiency of data used by frontier AI systems.

Lead the Forward Deployed Engineering function at Reflection, building and deploying complex agentic AI applications for enterprise customers. This customer-facing role spans solution architecture, AI system development, hybrid-cloud deployment, and organizational leadership.