Senior AI Scientist

San Jose, CA - USA

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

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 .

About the Role

We are seeking a Senior AI Scientist to collaborate on the strategy vision and execution of the AI elements in Vectras groundbreaking initiative to transform the Security Operations Center (SOC). This solution harnesses classical AI/ML and Agentic AI approaches to radically transform the entire SOC operational model enabling enterprises to more intelligently process alerts to identify and resolve real threats faster and to identify changes to the environment that will lead to better future outcomes.

This is a hands-on leadership role that will require you to contribute to the development and innovation of foundation models classical ML graph and time-series methods and training and evaluation techniques from idea to prototype and ultimately to enterprise scale production. The role reports directly to the CTO.

Key Responsibilities

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 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.

Qualifications

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.

Why Join Vectra

At Vectra youll be part of a mission-driven company defining the future of cybersecurity with AI this role youll have the opportunity to make a profound impact on how SOCs operatesimplifying investigations empowering analysts and enabling organizations worldwide to defend against the most advanced threats.

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

Vectra Total Rewards

$225700$305400 USD

Vectra provides a comprehensive total rewards packagethat 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.

Required Experience:

Senior IC

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 securit...

Vectra is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

About the Role

Key Responsibilities

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 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.

Qualifications

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.