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Associate Machine Learning Engineer, Recommendations

TikTok USDS JV • San Jose, CA, US • published 2026-10-18 02:18:12.105481

Description

San Jose Regular R\&D Job ID: A161644C to this job Responsibilities About the team We are a group of applied machine learning engineers and data scientists that focus on general feed recommendations and E\-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business\-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real\-world problems. What you will do: \- Participate in designing, building, and maintaining robust MLOps pipelines (CI/CD for ML) for hyper\-scale (10M–100M\+ users) recommendation models, ensuring reliable continuous training, automated evaluation, and seamless deployment. \- Architect high\-throughput real\-time streaming data pipelines and feature stores (offline \& online feature synchronization) to support dynamic user interest modeling (short\-term \& long\-term signals). \- Optimize candidate generation and ranking predictive models (CTR, CVR) for production serving. Work on inference acceleration, model quantization, parallel computation, and latency reduction using C\+\+/CUDA/TensorRT or similar f...

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