ML Engineer – Recommender & Search Systems (Impactful)

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 100,000 - 178,000; Full time

Benefits offered by this job

Medical Insurance

401(k) Match

Paid Leave

Job summary

TikTok USDS Joint Venture LLC is seeking a talented ML Engineer to design, train, and deploy high-impact machine learning solutions for recommender and search systems in the US market.

You will build scalable data pipelines, analyze massive logs, and optimize latency while ensuring strong data governance and privacy protections. Collaboration with cross-functional teams is essential for delivering high-performing, compliant experiences.

Qualifications

• Bachelor's or Master's in CS/Engineering/Math/Stats.
• Strong background in data structures, algorithms, systems, and software design.
• Solid understanding of machine learning concepts.

Responsibilities

• Design, train, and evaluate ML models for recommender systems and search ranking.
• Build efficient pipelines for feature extraction, model training, evaluation, and deployment.
• Process large-scale user behavior data with distributed systems to create real-time features.
• Optimize online inference latency and system throughput for high-QPS services.
• Conduct continuous A/B testing and iterate models to drive business goals.

Skills

Machine Learning

Distributed Systems

A/B Testing

Data Analysis

Education

Bachelor's/Master's degree

Job description

TikTok USDS Joint Venture LLC is seeking a talented ML Engineer to design, train, and deploy high-impact machine learning solutions for recommender and search systems in the US market.

You will build scalable data pipelines, analyze massive logs, and optimize latency while ensuring strong data governance and privacy protections. Collaboration with cross-functional teams is essential for delivering high-performing, compliant experiences.