[Remote] Machine Learning (ML) Engineer at Vectra

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field
5+/4+ years of experience after BS/MS
Strong software engineering basics
Knowledge of common challenges in training ML models and solutions to them
Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE)
Proficiency in data/ML libraries such as pandas, transformers, and torch
Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment
Ability to collaborate with cross-functional teams

Responsibilities

Design, prototype, research and build AI systems for Vectara
Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Models (MLMs)
Improve the quality of Vectara’s RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction
Publish technical blogs, papers, and patents

Skills

Key technologies and capabilities for this role

Machine LearningNatural Language ProcessingInformation RetrievalLarge Language ModelsMultimodal ModelsModel TrainingModel EvaluationModel DeploymentAI AgentsHallucination ReductionRAGPython

Questions & Answers

Common questions about this position

What experience level is required for this Machine Learning Engineer role?

The position requires 5+ years of experience after BS or 4+ years after MS.

What key technical skills are needed for this position?

Candidates need proficiency in data/ML libraries such as pandas, transformers, and torch, along with hands-on experience training ML systems end-to-end and familiarity with deep learning concepts like Transformers, RAG, and MoE.

What is the required educational background?

A BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field is required.

What is the company culture like at Vectara?

The team consists of all-stars from companies like Google, Cloudera, Splunk, MongoDB, and Elastic, who are passionate about applied AI to solve real-world problems.

What makes a strong candidate for this role?

Preferred candidates have a PhD with 1+ years industry experience, publications in top venues like NeurIPS or ICML, and experience as an ML engineer in high-growth startups, plus strong software engineering skills for production code.

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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