ML Engineer: Global E‑commerce Recommendations & Search

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

Job summary

TikTok in the United States seeks PhD graduates to join our Data-E-commerce team, driving research in ML for recommendation and search across commerce, live streams, and videos. You will help build scalable systems, risk controls, and intelligent customer-service tech to enhance a secure shopping experience.

Join a fast-moving team that values bold ideas and rigorous analysis. You will develop long- and short-term user-interest models from massive data, apply ML to improve ranking and content

Qualifications

• PhD completed or near completion in Software Development, CS, Computer Engineering, or related field.
• Excellent analytical and problem-solving skills.
• Strong foundation in machine learning and deep learning, with NLP experience and personalization.
• Exceptional coding skills with solid knowledge of data structures and algorithms.
• Proficiency in Linux development environments.

Responsibilities

• Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation.
• Participate in building large-scale e-commerce recommendation systems (10 million to 100 million) for TikTok.
• Build long- and short-term user interest models and analyze large data to design efficient algorithms.
• Apply ML to improve search ranking, natural language understanding, video understanding, and trust and safety.

Skills

Analytical skills

ML foundations

NLP experience

Coding fundamentals

Linux development

Education

PhD in Computer Science/Software Engineering

Job description

TikTok in the United States seeks PhD graduates to join our Data-E-commerce team, driving research in ML for recommendation and search across commerce, live streams, and videos. You will help build scalable systems, risk controls, and intelligent customer-service tech to enhance a secure shopping experience.

Join a fast-moving team that values bold ideas and rigorous analysis. You will develop long- and short-term user-interest models from massive data, apply ML to improve ranking and content