
Reflection
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. Our team previously built frontier LLMs at labs like DeepMind, OpenAI, and Anthropic. We believe AI should be built in the open, with transparent research and collaborative development. That means giving enterprises, governments, and sovereign entities true ownership and control of AI that performs at the highest level. Our mission: make intelligence open and accessible to all.
Open Positions at Reflection
19 open positions
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.
Forward Deployed Engineer responsible for turning advanced AI research into reliable, customer-specific agentic systems for enterprise clients. The role spans customer discovery, solution architecture, hands-on development, model adaptation, and production deployment across cloud and hybrid environments.
Build Reflection.AI’s Application Security function from the ground up while engineering security controls for AI agents, software supply chains, and secure development. This high-autonomy role spans application, infrastructure, incident response, and security program development.
Join Reflection’s Applied AI team to fine-tune, evaluate, and deploy open-weight language models for enterprise customers. You’ll combine hands-on ML engineering with customer-facing problem solving across data preparation, model training, evaluation, and production delivery.
Build the distributed infrastructure that powers frontier foundation-model pre-training across thousands of GPUs. You’ll partner directly with researchers to optimize training systems and turn new techniques into scalable production workflows.
Build and operate Reflection’s Kubernetes-based compute platform across multi-cloud, multi-GPU environments. You’ll solve challenging systems problems spanning cluster reliability, scheduling, hardware debugging, observability, and large-scale storage.
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