Senior Data Scientist - Security and Networking Research
Core
Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows.
Role type
Senior IC machine-learning engineer (security/agentic AI)
Builds
Production-grade AI security products for networking and data center environments
Domain
Cybersecurity, Networking, Deep Learning
Deliverable
production ML models
Required skills
Deep learning, Machine learning, Python programming, Software design fundamentals, Coding agents, Large scale production systems, Model optimization (distillation/quantization/pruning), Generative AI models, LLM fine-tuning, Agentic AI systems
Preferred skills
GPU technologies (CUDA, CuDNN, TensorRT), Data processing tools, Security protocols and network architectures
Technologies
TensorFlow, Pytorch, CUDA, CuDNN, TensorRT
Responsibilities
Developing agentic AI systems for security, Optimizing and fine-tuning models for performance and scalability, Developing and improving models across media types, Leveraging data pipelines for training and inference, Measuring and benchmarking model performance, Collaborating with software and hardware engineers on new features
Seniority
Senior, hands-on IC
