PhD ML Engineer, Graduate Program: Real-Time Personalization

TikTok USDS Joint Venture LLC; Seattle (WA); Presencial; USD 110.000 - 170.000; Tempo integral

Resumo da vaga

TikTok USDS Joint Venture LLC is seeking a Machine Learning Engineer Graduate for a 2027 start (PhD). You will contribute to building and scaling high-impact ML solutions—ranging from recommendation engines to search relevance—while upholding strict data privacy and security standards for US users.

The role is on-site in Seattle with onboarding expected by year-end. As a graduate, you will pursue bold ideas, tackle complex challenges, and grow within a mission-driven Tech and Product team that

Qualificações

• PhD in Computer Science, Engineering, Math, Statistics or related discipline.
• Solid background in data structures, algorithms, computer systems and software design.
• Strong theoretical understanding and practical knowledge of machine learning concepts.

Responsabilidades

• 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.

Conhecimentos

Data Structures

Algorithms

Computer Systems

Software Design

Machine Learning concepts

Formação

PhD in CS/Engineering/Math/Statistics

Descrição da vaga

TikTok USDS Joint Venture LLC is seeking a Machine Learning Engineer Graduate for a 2027 start (PhD). You will contribute to building and scaling high-impact ML solutions—ranging from recommendation engines to search relevance—while upholding strict data privacy and security standards for US users.

The role is on-site in Seattle with onboarding expected by year-end. As a graduate, you will pursue bold ideas, tackle complex challenges, and grow within a mission-driven Tech and Product team that