採用
福利厚生
•Healthcare
•401(k)
•Equity
•Unlimited Pto
•Mental Health
必須スキル
Machine Learning
Deep Learning
Reinforcement Learning
LLMs
GenAI
Graph ML
Python
PyTorch
TensorFlow
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.
About the Role
We are seeking a Distinguished AI Researcher to collaborate on the strategy, vision, and execution of the AI elements in Vectra’s groundbreaking initiative to transform the Security Operations Center (SOC). This solution harnesses classicalAI/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 requireyou 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 ofdetection, 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.
Qualifications
Advanced degreein CS/EE/Math/Physics (PhD preferred) or equivalent research/industry track record.
10+ years hands-on experience with ML/AI and5+ 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., Py Torch, Tensor Flow) and LLM frameworks and protocols (e.g., Lang Chain, 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, you’ll be part of a mission-driven company defining the future of cybersecurity with AI innovation. In this role, you’ll have the opportunity to make a profound impact on how SOCs operate—simplifying 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 candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards**$265,500—$312,400 USD**
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.
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Vectra AIについて

Vectra AI
Series CVectra AI, Inc. is a cybersecurity company that uses AI for hybrid attack detection, investigation, and response (NDR) solutions. The company was established in 2011 and operates in 113 countries from its San Jose, California headquarters, with further locations in Singapore, Australia, and Japan.
201-500
従業員数
San Jose
本社所在地
レビュー
3.7
10件のレビュー
ワークライフバランス
2.8
報酬
3.5
企業文化
4.2
キャリア
3.4
経営陣
2.6
65%
友人に勧める
良い点
Supportive and collaborative team environment
Innovative and cutting-edge technology
Good learning and professional development opportunities
改善点
Poor management and lack of direction/transparency
Work-life balance challenges and demanding workload
Fast-paced, stressful environment with high expectations
給与レンジ
53件のデータ
Mid/L4
Principal/L7
Senior/L5
Senior
Principal
Mid/L4 · DATA SCIENTIST
1件のレポート
$195,000
年収総額
基本給
$150,000
ストック
-
ボーナス
-
$195,000
$195,000
面接体験
2件の面接
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
ニュース&話題
Vectra AI - 2026 Funding Rounds & List of Investors - Tracxn
Tracxn
News
·
2w ago
Vectra AI Highlights Customer Hunt Club 2026 Cybersecurity Event in Munich - TipRanks
TipRanks
News
·
3w ago
SC Awards Finalist: Best Insider Threat Solution – Vectra AI – Mark Wojtasiak – SCA26 #1 - SC Media
SC Media
News
·
3w ago
The Guardrails are Gone: The Onus for AI Security Is On the Enterprise – Marc Manzano – RSAC26 #3 - SC Media
SC Media
News
·
3w ago