Principal ML Engineer
Core
Set technical direction for Mimecast's ML capabilities, including GCI products and advanced email threat-detection, owning the hardest modeling and systems problems end-to-end.
Role type
Principal individual-contributor ML engineer (threat detection & AI systems)
Builds
Production ML systems for email threat detection and AI enrichment platforms
Domain
Cybersecurity / AI / Email Security
Deliverable
production ML models
Required skills
Transformer architectures, PyTorch, Hugging Face, AWS SageMaker, NVIDIA Triton, CUDA workloads, LLM application patterns, model observability, capacity planning, technical leadership
Preferred skills
Experience with datasets exceeding two million examples, hybrid retrieval approaches, AI-native development tools
Technologies
AWS SageMaker, NVIDIA Triton, PyTorch, Hugging Face, ONNX Runtime, Kubernetes, Terraform, FastAPI, TorchServe
Responsibilities
Develop and own ML systems end-to-end, set ML architecture for model design and serving, benchmark and prototype alternatives, establish reproducible ML standards, make model observability first-class, own capacity planning and rollout strategy, diagnose production incidents
Seniority
Principal, hands-on IC with technical authority and mentorship
