Graduate ML Engineer — Recs & Personalization

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 137,000 - 259,000; Full time

Job summary

TikTok USDS Joint Venture is seeking researchers to design, train, and evaluate machine learning solutions for high-impact applications such as recommendations, search relevance, and e-commerce systems. You will focus on delivering personalized experiences while upholding stringent data governance and privacy protections for US users.

As part of the Tech and Product team, you will work on scalable ML pipelines, real-time features, and rigorous A/B testing to drive product performance and user

Qualifications

• PhD in CS, engineering, math or statistics.
• Solid background in data structures, algorithms, computer systems and software design.
• Strong theoretical and practical knowledge of machine learning concepts.

Responsibilities

• Design, build, train, and evaluate machine learning models for recommendation systems, search ranking, query understanding, or conversion prediction.
• Implement efficient pipelines for feature extraction, model training, evaluation, offline-to-online deployment, and A/B testing.
• Process and analyze massive user behavior data and catalog logs using distributed systems to construct real-time and offline features.
• Optimize online inference latency and system throughput for high-QPS production microservices.
• Conduct continuous A/B testing, analyze online metrics, identify bottlenecks, and iterate on models to drive business goals.

Skills

Data structures

Algorithms

Computer systems

Software design

Machine learning concepts

Education

PhD in Computer Science/Engineering/Math/Statistics

Tools

Distributed computing frameworks

Job description

TikTok USDS Joint Venture is seeking researchers to design, train, and evaluate machine learning solutions for high-impact applications such as recommendations, search relevance, and e-commerce systems. You will focus on delivering personalized experiences while upholding stringent data governance and privacy protections for US users.

As part of the Tech and Product team, you will work on scalable ML pipelines, real-time features, and rigorous A/B testing to drive product performance and user