Graduate ML Engineer: Recs, Search & Personalization

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 123,000 - 187,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with company match

Paid parental leave

Short-term disability

Long-term disability

Life insurance

Wellbeing benefits

10 paid holidays

Job summary

TikTok USDS Joint Venture is hiring a Machine Learning Engineer to design, train, and deploy ML models for personalized experiences with strong data governance and privacy protections. You will work on recommendation engines, search relevance, and e-commerce systems, handling massive data with scalable pipelines.

The role emphasizes close collaboration, onboarding by year-end, and opportunities to tackle complex challenges while advancing secure and high-impact ML solutions for US users.

Qualifications

• Bachelor's/Master's degree in CS/Engineering/Math/Statistics or related field.
• Solid background in Data Structures, Algorithms, Computer Systems, and Software Design.
• Strong theoretical understanding and practical knowledge of machine learning concepts.

Responsibilities

• Design, build, train, and evaluate ML models for recommendation systems, search ranking, query understanding, or conversion prediction.
• Implement pipelines for feature extraction, model training, evaluation, deployment, and A/B testing.
• Process and analyze large-scale user data and logs to construct real-time and offline features.
• Optimize online inference latency and system throughput for high-QPS microservices.
• Conduct continuous A/B testing and iterate on models to drive business goals.

Skills

Data Structures

Algorithms

Software Design

Machine Learning concepts

Education

Bachelor's/Master's degree in Computer Science/Engineering/Math/Statistics

Tools

Distributed computing frameworks

Job description

TikTok USDS Joint Venture is hiring a Machine Learning Engineer to design, train, and deploy ML models for personalized experiences with strong data governance and privacy protections. You will work on recommendation engines, search relevance, and e-commerce systems, handling massive data with scalable pipelines.

The role emphasizes close collaboration, onboarding by year-end, and opportunities to tackle complex challenges while advancing secure and high-impact ML solutions for US users.