Position Details

Type Full-Time

Experience senior

Exp. Years 4+ years

Education BS/MS in Computer Science, Computer Engineering, or related field

Category AI & Machine Learning

About this role

Senior ML Engineer role focused on building threat research systems for Palo Alto Networks' customer-facing products and internal infrastructure. You will design, implement, and deploy backend services and data pipelines, collaborating with SREs on releases and monitoring.

Key Responsibilities

Build and maintain threat research systems for customer-facing products and internal infrastructures
Collaborate with Product Managers on requirements and design drafts
Develop backend services and data pipelines
Work with SREs on production release/deployment and monitoring
Conduct regression and integration tests

Technical Overview

Stack includes Golang/Java with Python, containerized in Docker and Kubernetes, cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure), databases (MongoDB, MySQL), big data tooling (Apache Spark), and ETL pipelines; familiarity with ML basics and web content classification.

Ideal Candidate

The ideal candidate is a senior ML-focused software engineer with 4+ years of backend/ML experience, strong proficiency in Go/Golang and Java, plus Python. They should have deep hands-on experience with cloud platforms (GCP/AWS/Azure), container orchestration (Docker, Kubernetes), and data pipelines (Spark/ETL) to build threat research systems for cybersecurity products.

Must-Have Skills

BS/MS in Computer ScienceComputer Engineeringor related field4+ years experienceGolang or JavaPythonCloud platforms (GCPAWSAzure)DockerKubernetesJavaScriptTypeScriptLinux OSShell scriptingMongoDBMySQLSparkETL pipelinesBig dataMachine LearningWeb Content Classification

Tools & Platforms

DockerKubernetesMongoDBMySQLApache SparkGoogle Cloud PlatformAmazon Web ServicesAzureLinuxShell scriptingJavaScriptTypescriptGolangJavaPython

Required Skills

GolangJavaPythonDockerKubernetesGoogle Cloud PlatformAmazon Web ServicesAzureJavaScriptTypescriptLinuxShell scriptingMongoDBMySQLApache SparkETLBig DataMachine LearningWeb Content Classification

Hard Skills

GolangGoJavaPythonDockerKubernetesGoogle Cloud PlatformAmazon Web ServicesAzureJavaScriptTypescriptLinuxShell scriptingMongoDBMySQLApache SparkETLBig DataMachine LearningWeb Content Classification

Soft Skills

Creative thinkerTeam playerCommunicationProblem solvingSelf-directedPassion for cybersecurity

Industry & Role

Industry Cybersecurity

Job Function Design, build, and maintain threat research backend systems and data pipelines for cybersecurity products

Role Subtype AI & ML Engineer

Tech Domains Google Cloud Platform, Amazon Web Services, Azure, Docker, Kubernetes, Linux, MongoDB, MySQL, Apache Spark

Clearance & Visa

Visa Sponsorship Yes

Keywords for Your Resume

GolangGoJavaPythonDockerKubernetesGoogle Cloud PlatformAmazon Web ServicesAzureJavaScriptTypescriptLinuxShell scriptingMongoDBMySQLApache SparkETLBig DataMachine LearningWeb Content ClassificationBS/MS in Computer ScienceComputer Engineeringor related field4+ yearsGolang or JavaSr Staff Machine Learning Engineer (Internet Security)Javascript

Deal Breakers

Lack of 4+ years of relevant backend/ML experience, No Golang or Java proficiency, No cloud platform experience (GCP/AWS/Azure)

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