Sr. AI/ML Engineer

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.

Solid skills in Python, PyTorch or TensorFlow, and ML pipelines.

Familiarity with cybersecurity data (SIEM logs, alerts, EDR telemetry, threat reports).

Founding-level equity and full-stack ownership.

Work on hard, meaningful problems at the intersection of AI and security.

High agency, fast learning, direct access to customers and users.

Backed by seasoned operators and security leaders.

Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position.

Vectra Total Rewards

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.

We’re an early-stage startup on a mission to reinvent cybersecurity with AI-native infrastructure. Our vision is to help defenders move faster than adversaries by combining large-scale data, modern AI, and intelligent automation. We’re backed by top-tier investors and working with design partners across critical infrastructure and enterprise security. If you’re excited about building from the ground up and shaping the future of AI in cybersecurity, we’d love to talk.