Machine Learning Engineer - Recommendation Systems - ByteDance

Key Responsibilities

• Develop and refine core recommendation algorithms for video creation products such as CapCut and Hypic, targeting global user growth.
• Design large‑scale machine‑learning pipelines that rank and personalize user‑generated content in real time.
• Conduct A/B testing and data analysis to evaluate algorithm impact on engagement and distribution efficiency.
• Collaborate with product, data, and infrastructure teams to integrate models into production systems and ensure low‑latency serving.
• Continuously monitor model performance, diagnose issues, and iterate on feature engineering and model architecture.

Requirements

• Strong programming skills in Python and experience with deep‑learning libraries such as TensorFlow or PyTorch.
• Solid background in machine learning, especially recommendation systems, ranking, and personalization.
• Experience building and deploying large‑scale ML models in production environments.
• Proficiency with SQL and data‑analysis tools for large datasets.
• Ability to work cross‑functionally, communicate results clearly, and drive data‑driven product decisions.