2 days ago

AI Governance and Compliance Specialist - Global Security Organization

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Drive AI governance and compliance operations for content recommendation and AI systems, translating evolving global regulations into technical guardrails, algorithmic controls, and risk assessments. Own recommender compliance strategies, model risk tiering and auditability, and ML-SDLC governance gates. Prepare evidence packages for independent audits and serve as the primary technical liaison between engineering, data science, and legal/policy teams to ensure defensible, standardized compliance across markets.

Location: San Jose

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Key Responsibilities

•Interpret global AI and platform safety laws and translate requirements into actionable technical guardrails for recommendation and algorithmic systems.
•Execute recommender compliance strategies, including non-profiling recommendation feed options, disclosure of ad/content parameters, and systemic risk mitigation for content curation.
•Evaluate recommendation architectures and optimization objectives to assign regulatory risk classifications and build automated tracking for model lineage, training parameters, and evaluation results.
•Design operational guardrails and run pre-release and post-release audits for systemic risk mitigation and algorithmic bias/fairness (e.g., popularity bias, demographic disparity, filter-bubble formation).
•Prepare end-to-end evidence packages for audits and act as the primary technical point of contact during regulatory inquiries, serving as the bridge between ML engineers/data scientists and legal/policy teams.

Key Requirements

•Develop, implement, and manage comprehensive compliance programs at scale, including direct engagement with regulators, external auditors, or supervisory bodies on algorithmic or AI compliance matters.
•Deep understanding of recommendation systems, ranking algorithms, recommendation architectures, and content distribution pipelines at scale.
•Proficiency in Python and SQL with strong data analysis skills, including experience with ML frameworks such as PyTorch and TensorFlow and experimentation platforms.
•Translate complex legal and technical concepts into clear, actionable advice for diverse technical and non-technical audiences, with strong analytical and critical thinking skills.
•Work independently, manage multiple competing priorities, and thrive in a fast-paced, ambiguous environment.

Experience:4+ yearsAI/MLResponsible AISocial mediaTechnologyAlgorithmic auditing

Education:Bachelor's in Computer Science, Data Science, Information Policy, Law & Technology, or a related quantitative/policy discipline

Skills:Analytical thinkingCritical thinkingProblem-solvingClear communicationAbility to manage competing priorities

Certifications:AIGPCISACISMCRISCCISSPCIPP/E

Tech Stack:PythonSQLPyTorchTensorFlowNISTISO 27001

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

2 days ago

AI Governance and Compliance Specialist - Global Security Organization

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Jose

Employment Type: Full time

Job Function: Legal, Risk & Compliance

Key Responsibilities

•Interpret global AI and platform safety laws and translate requirements into actionable technical guardrails for recommendation and algorithmic systems.
•Execute recommender compliance strategies, including non-profiling recommendation feed options, disclosure of ad/content parameters, and systemic risk mitigation for content curation.
•Evaluate recommendation architectures and optimization objectives to assign regulatory risk classifications and build automated tracking for model lineage, training parameters, and evaluation results.
•Design operational guardrails and run pre-release and post-release audits for systemic risk mitigation and algorithmic bias/fairness (e.g., popularity bias, demographic disparity, filter-bubble formation).
•Prepare end-to-end evidence packages for audits and act as the primary technical point of contact during regulatory inquiries, serving as the bridge between ML engineers/data scientists and legal/policy teams.

Key Requirements

•Develop, implement, and manage comprehensive compliance programs at scale, including direct engagement with regulators, external auditors, or supervisory bodies on algorithmic or AI compliance matters.
•Deep understanding of recommendation systems, ranking algorithms, recommendation architectures, and content distribution pipelines at scale.
•Proficiency in Python and SQL with strong data analysis skills, including experience with ML frameworks such as PyTorch and TensorFlow and experimentation platforms.
•Translate complex legal and technical concepts into clear, actionable advice for diverse technical and non-technical audiences, with strong analytical and critical thinking skills.
•Work independently, manage multiple competing priorities, and thrive in a fast-paced, ambiguous environment.

Experience:4+ yearsAI/MLResponsible AISocial mediaTechnologyAlgorithmic auditing

Education:Bachelor's in Computer Science, Data Science, Information Policy, Law & Technology, or a related quantitative/policy discipline

Skills:Analytical thinkingCritical thinkingProblem-solvingClear communicationAbility to manage competing priorities

Certifications:AIGPCISACISMCRISCCISSPCIPP/E

Tech Stack:PythonSQLPyTorchTensorFlowNISTISO 27001

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn