Open frontier AI model lab serving enterprise and sovereign deployments
Reflection is a New York-based AI research lab building open frontier models for enterprises, governments and sovereign entities. Its stack pairs PyTorch and JAX training with Slurm, Ray, Triton and NCCL across both GCP and AWS, pointing to large-scale distributed GPU training. Hiring skews heavily senior and lead-level across engineering, data and research, while a forward deployed engineering build-out shows the lab pushing research into customer deployments.
Notable leadership hires: Safety Lead, Community Lead, Platform Foundations Lead, Engineering Lead, Data Ingestion Lead
Reflection is a privately held AI research lab headquartered in New York, NY, with 51–200 employees. It develops open, customizable AI models that customers can own and control, targeting enterprises, governments and sovereign entities. The team includes researchers with prior frontier LLM experience. Hiring spans the United States, United Kingdom and South Korea, with a mix of engineering, data, research, security and smaller go-to-market and legal functions.
Reflection uses Python, PyTorch, JAX, Triton, NCCL, Ray, Slurm, Apache Spark and Beam, Kubernetes, Terraform, Pulumi, Go, gRPC, FastAPI, React, Prometheus, Grafana and OpenTelemetry on GCP and AWS.
Reflection is headquartered in New York, NY and hires in the United States, United Kingdom and South Korea, mostly for senior and lead-level engineering, data and research roles.
Projects include frontier-scale training infrastructure, a forward deployed engineering function, red-teaming evaluation pipelines, QA pipelines for pre-training data, and synthetic data and reinforcement learning pipelines.
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Reflection's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.