ML Engineer - E-commerce Feed & Live-Video Recommendations

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

Job summary

TikTok Inc. in Seattle is seeking a highly skilled ML Engineer to advance our e-commerce recommendation engine for TikTok Shop. You will help connect user interests with top sellers through live-streaming and short videos, driving personalized shopping experiences.

Join a team of researchers and engineers applying large-scale ML to optimize candidate generation, ranking, and user engagement. Strong programming and ML background required.

Qualifications

• Bachelor's degree or higher in Computer Science or related fields.
• Strong programming and problem-solving ability.
• 1 year of experience in applied machine learning.
• Experience with deep learning tools such as TensorFlow or PyTorch.
• Experience with C++ or Python or equivalent.

Responsibilities

• Participate in building large-scale live-streaming and short video e-commerce recommendation algorithms and systems on TikTok.
• Design, develop, evaluate and iterate on predictive models for candidate generation and ranking, including real-time data pipelines, feature engineering, model optimization and innovation.
• Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
• Design and develop various strategies using ML technology to improve user shopping experience, and resolve e-commerce business challenges, such as the cold start problem and traffic allocation.
• Design and build supporting/debugging tools as needed.

Skills

Programming & problem-solving

Applied ML experience

Deep Learning Tools

C++/Python

Education

Bachelor's degree in CS or related

Job description

TikTok Inc. in Seattle is seeking a highly skilled ML Engineer to advance our e-commerce recommendation engine for TikTok Shop. You will help connect user interests with top sellers through live-streaming and short videos, driving personalized shopping experiences.

Join a team of researchers and engineers applying large-scale ML to optimize candidate generation, ranking, and user engagement. Strong programming and ML background required.