About Cyera
Come join the company building the security operating model for the age of AI. AI has changed how data is used - and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world's leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
About the Team
The ML Engineering team designs and builds the infrastructure and platforms that enable researchers and engineers to develop, evaluate, deploy, and operate ML models and LLM-based features at scale. We own the systems behind the ML lifecycle - from GPU-based training and evaluation workflows to model serving, LLM infrastructure, observability, internal SDKs, and developer tooling. Our internal platforms are used across multiple teams at Cyera, while the production services we enable power ML capabilities used across our customer base. We work closely with research, engineering, and DevOps teams, taking solutions from early ideation and design through experimentation and into reliable production systems. We value technical depth, ownership, curiosity, and a holistic approach to solving problems.
We're looking for a strong and curious ML Engineer to join our team and help design, build, and operate the infrastructure behind our machine learning and LLM systems.
In this role, you'll work across different parts of the ML lifecycle, from building evaluation workflows and improving CI/CD processes to operating production ML services and evolving our LLM infrastructure. You'll work closely with researchers, data scientists, backend engineers, and DevOps engineers to build infrastructure that enables ML solutions to move efficiently from research and experimentation to production. We're looking for someone with a holistic engineering mindset who enjoys understanding problems end-to-end - the business need, ML requirements, surrounding systems, and production environment - and turning them into reliable technical solutions.