Job summary
Job post source
This job is directly from Vectra AI
Job overview
The Sr. AI/ML Engineer at Vectra AI designs and deploys machine learning systems critical to AI-driven cybersecurity threat detection and response.
Responsibilities and impact
The role involves building and fine-tuning models for threat and anomaly detection, implementing LLM-powered agents, developing RAG pipelines, working with security data, collaborating with backend teams for deployment, and improving model performance and explainability.
Compensation and benefits
The salary range is $192,000 to $265,000 USD with additional benefits including health insurance, life insurance, retirement plans, equity stock options, wellness services, and generous time off.
Experience and skills
Candidates need 3+ years of applied ML or MLOps experience, strong ML fundamentals, experience with noisy real-world data, proficiency with LLMs and ML tools like Python and PyTorch or TensorFlow, and a collaborative mindset; cybersecurity data experience and infra skills are preferred.
Career development
The position offers founding-level equity, full-stack ownership, high agency, fast learning, and direct customer interaction, fostering significant professional growth in AI and cybersecurity.
Work environment and culture
Vectra AI promotes a diverse, equal opportunity environment with a hybrid work model requiring at least 3 days per week in the San Jose office, emphasizing fast iteration and collaboration.
Company information
Vectra AI is a leader in AI-driven threat detection for hybrid and multi-cloud enterprises, backed by top-tier investors and holding 35 patents in AI cybersecurity technology.
Job location and travel
The job is hybrid based in San Jose, California, requiring onsite presence three days per week.
Unique job features
The role focuses on cutting-edge AI applications in cybersecurity, including LLM-powered reasoning, adversarial behavior modeling, and integration of advanced ML pipelines in a startup environment.
Company overview
Vectra AI is a cybersecurity company specializing in threat detection and response through artificial intelligence. They generate revenue by providing advanced network security solutions that help organizations identify and mitigate cyber threats in real-time. Founded in 2010, Vectra AI has established itself as a leader in AI-driven cybersecurity, continuously innovating its Cognito platform to address evolving security challenges. The company is known for its focus on protecting cloud, data center, and enterprise environments, making it a critical partner for businesses aiming to enhance their cybersecurity posture.
How to land this job
Position your resume to highlight your hands-on experience with machine learning systems, especially in threat detection, anomaly detection, and behavioral modeling, as these are core to Vectra AI's platform.
Emphasize your skills with LLMs, embeddings, vector databases, and ML frameworks like PyTorch or TensorFlow, along with your ability to handle noisy, real-world security data such as logs and alerts.
Apply through multiple channels including Vectra AI's official careers page and LinkedIn to maximize your chances and ensure your application is seen by different hiring stakeholders.
Connect with AI/ML engineers and team members in Vectra AI's security and research divisions on LinkedIn; start conversations by referencing recent AI advancements in cybersecurity or asking about their work on LLM-powered threat detection systems.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning', 'LLM', 'RAG pipelines', 'adversarial behavior modeling', and 'Python', ensuring it aligns with both technical and collaboration skills.
Use Jennie Johnson's Power Apply feature to automate tailored applications across platforms, identify relevant LinkedIn contacts, and optimize your resume for ATS, freeing you to focus on preparing for interviews and networking.
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