ML Engineer - E-commerce Recommendations & Safety

TikTok Inc.; Seattle (WA); On-site; USD 154,000 - 301,000; Full time

Job summary

TikTok Inc. is seeking researchers for the Data-E-commerce team to advance retrieval and recommendation algorithms across our e‑commerce products.

You will help build scalable systems that surface relevant goods in feeds, live streams, and video contexts, while ensuring safety and trust across platforms. You will collaborate to develop long and short term user interest models, mine insights from vast data, and apply ML techniques to improve search, language understanding, and content safety in a

Qualifications

• BS/MS/PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Excellent analytical and problem‑solving skills.
• Strong foundation in machine learning and deep learning, with experience in NLP.
• 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 algorithms.
• Participate in building large‑scale (10 million to 100 million) e‑commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.
• Build long and short term user interest models, analyze and extract relevant information from large amounts of data and design algorithms to explore users' latent interests efficiently.
• Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety.

Skills

Machine Learning

Deep Learning

NLP

Programming (CS)

Linux development

Problem solving

Analytical thinking

Personalization

Education

BS/MS/PhD in Software Development/CS/CE

Tools

Git

Job description

TikTok Inc. is seeking researchers for the Data-E-commerce team to advance retrieval and recommendation algorithms across our e‑commerce products.

You will help build scalable systems that surface relevant goods in feeds, live streams, and video contexts, while ensuring safety and trust across platforms. You will collaborate to develop long and short term user interest models, mine insights from vast data, and apply ML techniques to improve search, language understanding, and content safety in a