Senior Machine Learning Engineer, Content Safety & Ecosystem - Personalization

About the role

The Responsible Recommendation System team innovates in content understanding and recommendation system techniques to improve TikTok content safety and ecosystem. We leverage advanced personalization models to develop robust, scalable solutions that safeguard user experience and drive product impact.

Responsibilities

• Develop and enhance personalization models to improve user recommendations while addressing challenging issues such as long-tail distributions, sparse data, and biased objectives.
• Innovate on machine learning algorithms that power one of the most renowned recommendation systems, ensuring continuous optimization of TikTok's content ecosystem.
• Design and implement end-to-end machine learning solutions that integrate seamlessly into production, working across the entire model lifecycle from data collection and feature engineering to model deployment and evaluation.
• Collaborate with cross-functional teams and engineers from diverse technical backgrounds to translate technical innovations into tangible product improvements.
• Apply data-driven approaches and rigorous experimentation to measure, analyze, and optimize model performance.

Requirements

• Bachelor's degree in computer science or a related field, with relevant work experience; an advanced degree is preferred.
• Strong expertise in machine learning with hands-on experience developing and deploying personalization models in production environments.
• Proficiency in programming languages such as Python or C++, along with familiarity with leading machine learning frameworks.
• Solid understanding of information retrieval techniques and their application in large-scale recommendation systems.
• Demonstrated ability to solve complex machine learning challenges and optimize algorithms in scenarios with long-tail, sparse, or biased data distributions.
• Excellent communication and collaboration skills, with a proven track record of working effectively within cross-functional teams.
• Job Information
• [For Pay Transparency] Compensation Description (annually)
• The base salary range for this position in the selected city is $187040 - $359720 annually.
• The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
• For Los Angeles County (unincorporated) Candidates:
• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.

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