Senior ML Engineer: AI Risk & LLM Agent Systems

TikTok USDS Joint Venture; Seattle (WA); In loco; USD 178.000 - 342.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

401(k) with match

Parental leave

Disability coverage

Wellbeing benefits

Paid time off

Descrizione del lavoro

TikTok USDS Joint Venture is seeking a Senior Machine Learning Engineer to lead architecture and execution of an AI Risk & Compliance Intelligence Platform and Intelligent Data Agent Ecosystem. You will bridge prompt engineering with model-driven reasoning, tackling offline/online evaluation and synthetic data generation for small-sample scenarios.

The role involves designing evaluation pipelines, advancing ML-driven decision models, and leading cross-functional ML initiatives across

Competenze

• 5+ years of software/ML engineering with production ML/LLM systems.
• ,
• Deep hands-on expertise with LLM architectures, fine-tuning, RAG, and agentic frameworks.

Mansioni

• Design, build, and scale robust LLM evaluation architecture and benchmarking pipelines.
• Develop LLM-driven synthetic data generation to address data scarcity.
• Advance beyond prompts by extracting risk patterns to build ML-driven decision models.
• Architect and optimize modular agent skills and tools for Data Science & SRE workflows.
• Implement evaluation methodologies across risk intelligence and agent ecosystems.
• Provide technical leadership with core ML system design patterns and best practices.

Conoscenze

5+ yrs software/ML

LLM architectures

Evaluation frameworks

Production pipelines

Descrizione del lavoro

TikTok USDS Joint Venture is seeking a Senior Machine Learning Engineer to lead architecture and execution of an AI Risk & Compliance Intelligence Platform and Intelligent Data Agent Ecosystem. You will bridge prompt engineering with model-driven reasoning, tackling offline/online evaluation and synthetic data generation for small-sample scenarios.

The role involves designing evaluation pipelines, advancing ML-driven decision models, and leading cross-functional ML initiatives across