Scale AI

7 months ago

Security Engineer, Product Security

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Technical Security Engineer joining Scale AI’s Product Security team to safeguard AI/ML products. You’ll conduct in-depth code reviews, implement security best practices, and shape security strategy. Expertise in TypeScript, Python, AWS, CI/CD, SAST/DAST, and terraform orchestration will help identify and mitigate vulnerabilities, while guiding engineering teams and communicating risk and impact clearly.

Location: New York, San Francisco, Washington

Workplace: Onsite

Employment Type: Full time

Job Function: Cybersecurity

Key Responsibilities

•Build and maintain security tooling across the AI/ML software stack to secure every layer of the ecosystem.
•Conduct in-depth code reviews to identify and remediate security vulnerabilities.
•Evaluate and enhance product security through RFCs and service reviews.
•Implement and maintain CI/CD pipelines with a strong security focus.
•Perform SAST/DAST to identify vulnerabilities in production code.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning StipendCommuter BenefitsPaid Leave

Key Requirements

•Proficiency in NodeJS, TypeScript, Python and/or Kubernetes; strong understanding of modern Javascript application design
•Production experience operating and securing AWS infrastructure at scale
•Hands-on experience with SAST and DAST tools and methodologies
•Familiarity with terraform orchestration for infrastructure management
•Excellent communication skills to present technical concepts to both technical and non-technical stakeholders

Experience:SecurityAI/MLCloud

Skills:CommunicationProblem-solvingTeamwork

Certifications:CISSPCEHOSCP

Languages:English

Tech Stack:TypeScriptPythonNodeJSAWSCI/CDSASTDASTTerraformKubernetes

Company Brief

Scale AI

Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn

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Scale AI

7 months ago

Security Engineer, Product Security

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: New York, San Francisco, Washington

Workplace: Onsite

Employment Type: Full time

Job Function: Cybersecurity

Key Responsibilities

•Build and maintain security tooling across the AI/ML software stack to secure every layer of the ecosystem.
•Conduct in-depth code reviews to identify and remediate security vulnerabilities.
•Evaluate and enhance product security through RFCs and service reviews.
•Implement and maintain CI/CD pipelines with a strong security focus.
•Perform SAST/DAST to identify vulnerabilities in production code.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning StipendCommuter BenefitsPaid Leave

Key Requirements

•Proficiency in NodeJS, TypeScript, Python and/or Kubernetes; strong understanding of modern Javascript application design
•Production experience operating and securing AWS infrastructure at scale
•Hands-on experience with SAST and DAST tools and methodologies
•Familiarity with terraform orchestration for infrastructure management
•Excellent communication skills to present technical concepts to both technical and non-technical stakeholders

Experience:SecurityAI/MLCloud

Skills:CommunicationProblem-solvingTeamwork

Certifications:CISSPCEHOSCP

Languages:English

Tech Stack:TypeScriptPythonNodeJSAWSCI/CDSASTDASTTerraformKubernetes

Company Brief

Scale AI

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn