Company
Open roles
San Francisco County, San Francisco, California
- $130,000 – $500,000Posted last monthSecurity EngineeringPythonGoTypeScriptAWSKubernetesAI SecurityIncident ResponseAutomation
Security Engineer role at Mercor focusing on building security systems for AI training pipelines and enterprise integrations. Requires 5+ years experience, strong coding skills in Python/Go/TypeScript, and cloud infrastructure hardening. Salary range $130K-$500K USD.
- $130,000 – $500,000Posted last month
Mercor is seeking a Security Engineer for Cloud Infrastructure to architect multi-account AWS isolation and harden Kubernetes clusters. The role requires 5+ years of experience in cloud security and focuses on tenant isolation for enterprise AI clients. Compensation ranges from $130K to $500K plus equity.
- $130,000 – $500,000Posted last month
Mercor is hiring a Security Engineer, Automation to build security automation pipelines and tooling. The role focuses on secrets migration, SOAR workflows, and detection-as-code using AI tools. Requires 5+ years of experience in security engineering or DevSecOps.
- $130,000 – $500,000Posted last month
Mercor is seeking a Security Engineer for Application Security to embed in the development lifecycle and build security tooling. The role involves reviewing code, managing vulnerability pipelines, and utilizing AI tools for security analysis. Candidates need 5+ years of experience in application security or software engineering.
- $130,000 – $500,000Posted last month
Mercor is hiring a Security Engineer for Application Security. You will own application security, embed in SDLC, review code, build tooling, and drive remediation. Role requires 5+ years experience in AppSec or Security Engineering.
- $130,000 – $500,000Posted 2 months agoMachine LearningData PrivacyAnonymizationBackend EngineeringPythonDifferential PrivacyFederated LearningCompliance
Mercor is seeking a Machine Learning Engineer to design and implement industry-best data privacy pipelines. The role focuses on shipping production systems using advanced anonymization techniques like federated learning and differential privacy. Candidates must possess strong backend engineering skills and experience with data privacy frameworks.