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Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.
- Collaborate with distinguished technical staff on design and implementation of AI solutions for end-to-end automation of detection, triage, investigation, and response across SOC workflows.
- Work with Engineering and PM leaders to understand market and product requirements and develop AI strategies that enable rapid development while maximizing performance.
- Rapidly adopt novel methods and architectures when advantageous, while vocally advocating traditional techniques when they are more well suited. In particular, bring a deep knowledge of how modern GenAI systems operate and where they are best used and not used.
- Research and innovate state-of-the-art approaches in AI/ML/GenAI to solve the many complex, novel and evolving challenges in the domain of cybersecurity.
- Publish internally/externally; work with team members to contribute to top-tier conferences and journals while also contributing to non-technical communications.
- Advanced degree in CS/EE/Math/Physics (PhD preferred) or equivalent research/industry track record.
- 10+ years hands-on experience with ML/AI and 5+ years building and shipping ML systems with direct production impact. Knowledge and expertise in the following areas:
- “Traditional” ML: Deep Learning, Reinforcement Learning, anomaly detection, Bayesian inference, gradient boosting, sequence models, HMMs, etc.
- LLMs & GenAI: tokenizer/training pipeline design; SFT/DPO/GRPO; retrieval design (chunking, hybrid search, routing); evaluation methods (faithfulness, grounding, LLM-as-a-judge); agents (tool schemas, memory, planning).
- Graph ML: entity/relationship graphs, link prediction, GNNs (e.g., variational GAE), dynamic graph learning.
- Adversarial/robust ML: evasion/poisoning defenses, model red-teaming, safety/guardrails.
- Experienced in python and ML frameworks (e.g., PyTorch, TensorFlow) and LLM frameworks and protocols (e.g., LangChain, Strands, MCP/A2A, etc.)
- Record of publication in top-tier AI (or related) conferences and journals such as NeurIPS, ICLR, ICML, ACL, IJCAI, AAAI, etc.
Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Vectra AI San Jose, California, USA Office
560 S. Winchester Blvd Ste 200, Suite 200, San Jose, CA, United States, 95128
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