ML Engineer: Recs & Safety for Large-Scale E-commerce

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Job summary

TikTok Inc. is seeking top talent for a Data-E-commerce team focused on algorithmic research and scalable recommender systems. You will work on retrieval, ranking, and personalization to enhance user experiences across products, live streams, and videos.

The role involves building scalable models, analyzing massive data, and contributing to trust, safety, and safety-focused AI initiatives. Applicants should be nearing or have completed a PhD and be ready to join in 2026 in San Jose, CA.

Qualifications

• PhD in software development, CS, CE or related field.
• Strong analytical and problem-solving abilities.
• Solid foundation in ML and DL, with NLP experience.
• Proficient in Linux development environments.
• Excellent coding skills with knowledge of data structures and algorithms.
• Prior experience in search, recommendation, or ads algorithms.
• Familiarity with e-commerce businesses.

Responsibilities

• Conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation.
• Build large-scale e-commerce recommendation systems (10M–100M items).
• Develop long and short-term user interest models from large datasets.
• Apply ML to improve search, NLP, video understanding, trust and safety.

Skills

Machine learning

Deep learning

NLP

Personalization

Coding skills

Algorithms

Linux development

Analytical skills

Problem solving

Education

PhD in CS/CE/related field

Job description

TikTok Inc. is seeking top talent for a Data-E-commerce team focused on algorithmic research and scalable recommender systems. You will work on retrieval, ranking, and personalization to enhance user experiences across products, live streams, and videos.

The role involves building scalable models, analyzing massive data, and contributing to trust, safety, and safety-focused AI initiatives. Applicants should be nearing or have completed a PhD and be ready to join in 2026 in San Jose, CA.