Senior AI/ML Engineer, Vectra AI

• 3+ years of hands-on experience in applied ML or MLOps (or PhD with practical implementation)
• Strong ML fundamentals (classification, clustering, anomaly detection, embedding techniques)
• Experience working with real-world noisy data, ideally in time series, logs, or graph-structured form
• Experience with LLMs (e.g., OpenAI, Mistral, Llama), embeddings, and vector databases. Well-versed in techniques for long context (chunking, sliding window, hierarchical summarization)
• Solid skills in Python, PyTorch or TensorFlow, and ML pipelines
• Strong collaboration and ownership mindset—you write clean code, ask great questions, and iterate quickly
• Someone who is looking for a hybrid work environment, with a minimum of 3 days in the San Jose office

Desirable

• We’re hiring an AI/ML Engineer to design, build, and deploy machine learning systems at the heart of our platform
• You’ll work on problems like dynamic threat detection, LLM-powered agent reasoning, RAG Pipelines, and adversarial behavior modeling
• You’ll collaborate across research, backend, and security teams to ship high-impact features fast
• If you're a hands-on ML engineer who loves shipping smart systems in messy real-world domains, this is for you
• Build and fine-tune models for threat detection, anomaly detection, and behavioral modeling (supervised, unsupervised, and semi-supervised)
• Implement and optimize LLM-powered agents that reason over structured and unstructured security data
• Develop RAG pipelines that combine embeddings, vector search, and context injection
• Work with streaming and historical security data (logs, events, alerts) to train and evaluate models
• Collaborate with backend and platform teams to deploy models in scalable, low-latency environments
• Continuously improve model performance, robustness, and explainability