ML Engineer, Recommenders & Trust for E-commerce

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

Job summary

TikTok Inc. is seeking a PhD-level data scientist to join the Data-E-commerce team in Seattle.

You will work on cutting-edge machine learning for retrieval and recommendation, building large-scale e-commerce recommender systems, and developing models to capture user interests across products, videos, and live streams. Expect state-of-the-art research and scalable production systems in a fast-paced environment.

Qualifications

• PhD in a relevant technical field is required or recently completed.
• Strong analytical and problem-solving abilities are essential.
• Solid foundation in machine learning and deep learning with NLP experience and personalization.
• Excellent coding skills with knowledge of data structures and algorithms.
• Proficiency with Linux development environments.

Responsibilities

• Contribute to cutting-edge research in ML algorithms for retrieval and recommendation.
• Build large-scale e-commerce recommendation systems (millions to hundreds of millions of users).
• Develop user interest models and extract insights from large datasets to expose latent interests.
• Apply ML to improve search ranking, NLP/video understanding, and trust/safety.

Skills

Analytical skills

ML & DL (NLP, Personalization)

Coding (data structures & algorithms)

Linux development

Education

PhD in Software Development/CS/CE or related

Job description

TikTok Inc. is seeking a PhD-level data scientist to join the Data-E-commerce team in Seattle.

You will work on cutting-edge machine learning for retrieval and recommendation, building large-scale e-commerce recommender systems, and developing models to capture user interests across products, videos, and live streams. Expect state-of-the-art research and scalable production systems in a fast-paced environment.