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Distinguished AI Researcher

Vectra AI

Distinguished AI Researcher

Vectra AI

San Jose, CA, United States

·

On-site

·

Full-time

·

1w ago

Compensation

$265,500 - $312,400

Benefits & Perks

Healthcare

401(k)

Equity

Unlimited PTO

Mental Health

Healthcare

401k

Equity

Unlimited Pto

Mental Health

Required Skills

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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About Vectra AI

Vectra AI

Vectra AI

Series C

Vectra 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

Employees

San Jose

Headquarters

Reviews

3.9

42 reviews

Work Life Balance

3.9

Compensation

4.2

Culture

3.9

Career

3.8

Management

3.6

78%

Recommend to a Friend

Pros

Good work-life balance and flexible environment

Competitive compensation and benefits

Interesting projects and challenges

Cons

Room for improvement in processes

Some organizational bureaucracy

Work-life balance varies by team

Salary Ranges

50 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Data Engineer

3 reports

$182,000

total / year

Base

$140,000

Stock

-

Bonus

-

$166,400

$195,000

Interview Experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Experience

Positive 33%

Neutral 67%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Assessment/CodeSignal

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience