[Remote] Senior Machine Learning Engineer at Vectra

United States

Vectra Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise AI, Artificial Intelligence, AI & Machine Learning, SoftwareIndustries

Skills

Key technologies and capabilities for this role

backend developmentDevOpsplatform software engineeringretrieval-augmented generationAImachine learningdistributed systemsneural information retrievalautomationobservabilityreliabilityperformance

Questions & Answers

Common questions about this position

What is the salary range for this Senior Machine Learning Engineer position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What are the basic requirements for this position?

Candidates need a BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field, plus 5+/4+ years of experience after BS/MS, and strong software engineering background.

What is the company culture like at Vectara?

Vectara's team consists of all-stars from Google, Cloudera, Splunk, MongoDB, Elastic, and more, who are passionate about applied AI to solve real-world problems, with a mission to help the world find meaning.

What compensation benefits does Vectara offer besides salary?

Full-time employees receive equity ownership in the company, which can positively impact long-term total compensation.

Vectra

AI-based network detection and response solutions

About Vectra

Vectra.ai specializes in AI-based network detection and response (NDR) solutions, focusing on real-time security for cloud environments, SaaS platforms, data centers, and enterprise infrastructures. Its main product, the Cognito platform, captures network metadata and uses machine learning to identify and respond to cyber threats, allowing security analysts to conduct thorough investigations and prioritize critical incidents. Unlike many competitors, Vectra.ai integrates seamlessly with various security tools, enhancing its threat detection capabilities. The company's goal is to help organizations maintain a strong security posture by providing comprehensive solutions that adapt to evolving security needs.

San Jose, CaliforniaHeadquarters
2011Year Founded
$342.7MTotal Funding
SERIES_FCompany Stage
Cybersecurity, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Family Medical Leave
Flexible Work Schedule
Remote Work Program
Health Insurance & Wellness Benefits - Dental Benefits, Disability Insurance, Flexible Spending Account (FSA), Health Insurance Benefits, Life Insurance, Vision Benefits
401(K)
Employee Stock Purchase Plan
Paid Holidays
Paid Sick Days

Risks

AI fatigue in Asia Pacific may reduce adoption of Vectra's solutions.
Excessive alerts from threat detection tools could impact Vectra's market position.
High costs of AI integration may deter potential clients.

Differentiation

Vectra uses AI to detect and stop attackers in real-time.
The Cognito platform integrates with various security tools for comprehensive threat detection.
Vectra's Attack Signal Intelligence provides actionable insights and prioritizes threats effectively.

Upsides

Increased demand for AI-driven cybersecurity solutions boosts Vectra's growth potential.
Partnerships like Globe Telecom enhance Vectra's collaborative cybersecurity efforts.
Vectra's development of new AI agents sets it apart in advanced AI applications.

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