Staff Machine Learning Engineer, Content Understanding – Moderation

Unity

. Define the multimodal content representation strategy across video, image, playable, audio, and text .

Posted 9/15/2026full-timeBeijing • ChinaLead💰 CN¥831,400 - CN¥1,247,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in multimodal machine learning, particularly in combining vision and language, while leading architectural direction and mentoring engineering teams. Proficient in adapting foundation models for production use and managing trust and safety systems in a production environment.

Highest-signal resume keywords

Multimodal Machine LearningContent Moderation SystemsPython ProgrammingProduction ML SystemsArchitectural Direction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Multimodal Machine LearningPython ProgrammingProduction ML SystemsEvaluation Criteria DefinitionContent EmbeddingsGame-Level FeaturesLabeling PipelinesFine-TuningDistillationOptimization for Latency

Soft Skills

Systems ThinkingMentoring

Tools & Technologies

Evaluation HarnessesLabeling Infrastructure

Industry Keywords

Trust and SafetyContent ModerationBrand SafetyPolicy EnforcementRegulatory ComplianceAdvertising Standards

Tech Stack

Tools & technologies

Distributed SystemsPython

About the role

Key responsibilities & impact

Define the multimodal content representation strategy across video, image, playable, audio, and text
Ensure shared foundations serve both relevance and moderation
Partner with product, engineering, and science teams to translate regulatory and contractual obligations into measurable ML objectives
Define evaluation criteria where labels are scarce, noisy, and contested
Build evaluation and labeling infrastructure
Build shared foundations including content embeddings, game-level features, evaluation harnesses, and labeling pipelines
Lead architectural direction across teams
Raise the design and review bar
Mentor senior and mid-level engineers

Requirements

What you’ll need

Deep experience in multimodal machine learning combining vision and language, with video experience especially relevant
Extensive experience owning a trust and safety, content moderation, brand safety, or policy enforcement system in production
Experience operating where labels are scarce, ambiguous, or disputed, and where the definition of a violation shifts over time
Experience adapting foundation models for production use, including fine-tuning, distillation, and optimization for latency and cost
Strong programming skills in Python
Experience running production ML systems on a serving path, with fluency in latency, throughput, and cost tradeoffs
Experience reviewing and remaining accountable for production code, including code produced with AI assistance
Proven ability to lead technical direction and influence architectural decisions across teams without formal authority
Sufficient knowledge of English for professional verbal and written exchanges
Familiarity with regulatory and policy regimes affecting advertising content, such as DSA, child-directed treatment, and regional advertising standards (optional)
Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems (optional)

Benefits

Comp & perks

Equity awards
Participation in company incentive plans, such as annual discretionary bonuses or sales commissions
Comprehensive health, life, and disability insurance
Commute subsidy
Employee stock ownership
Competitive retirement/pension plans
Generous vacation and personal days
Leave and family-care programs for new parents
Office food snacks
Mental Health and Wellbeing programs and support
Employee Resource Groups
Global Employee Assistance Program
Training and development programs
Volunteering and donation matching program