ML Engineer - Risk & E-commerce AI Innovator

TikTok Inc.; Seattle (WA); On-site; USD 122,000 - 243,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Job summary

TikTok Inc. is seeking graduates to join the Governance and Experience Algorithm team in Seattle. You will identify algorithms to combat risks in e-commerce, detect fraudulent behavior, and optimize content and product libraries using advanced AI techniques.

The role emphasizes data construction, instruction tuning, CoT and model alignment for e-commerce applications. Successful candidates will work on reinforcement learning and operational research approaches to improve audit quality and

Qualifications

• Bachelor's degree in CS/Software Engineering or related field.
• Strong coding skills and Linux proficiency.
• Solid foundation in data structures and algorithms.
• Knowledge of ML theory and practical experience.
• Familiar with NLP, CV, multimodal, or graph algorithms.

Responsibilities

• Identify algorithms for risk/violation/low-quality issues in e-commerce.
• Mine and detect fraudulent behaviors and risky merchants/creators.
• Optimize algorithms for large-scale libraries and content deduplication.
• Contribute to data construction, instruction fine-tuning, CoT and alignment for large models.
• Explore RL and OR algorithms for efficient auditing and dispatching.

Skills

Python

Go

C++

Data structures

Education

Bachelor's degree in Computer Science

Bachelor's degree in Software Engineering

Tools

Linux

Job description

TikTok Inc. is seeking graduates to join the Governance and Experience Algorithm team in Seattle. You will identify algorithms to combat risks in e-commerce, detect fraudulent behavior, and optimize content and product libraries using advanced AI techniques.

The role emphasizes data construction, instruction tuning, CoT and model alignment for e-commerce applications. Successful candidates will work on reinforcement learning and operational research approaches to improve audit quality and