ML Engineer – E-commerce Feed Recommendations

TikTok; San Jose, Northern (CA, KY); Hybrid; USD 162,000 - 317,000; Full time

Job summary

TikTok is hiring a Machine Learning Engineer for the E-commerce Feed Recommendation team in San Jose. You will develop large-scale recommendation algorithms for live-streaming and short video commerce, focusing on user interest modeling and ranking.

You will build and optimize models (CTR/ CVR) and real-time data pipelines, collaborate with cross-functional teams, and contribute to the deployment and monitoring of production systems. This role offers strong growth in a fast-moving tech company.

Qualifications

• Must have Bachelor's degree in CS or related field.
• 1 year of applied ML experience.
• Experience with DL frameworks such as TensorFlow or PyTorch.
• Proficiency in C++ or Python.

Responsibilities

• Build large-scale ML models for e-commerce recommendations (live-streaming & short videos).
• Develop data pipelines and feature engineering for candidate generation and ranking.
• Experiment, evaluate, and iterate on models to improve engagement and conversion.
• Create tools to support debugging and model monitoring.

Skills

Programming ability

Problem-solving

Applied ML

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

TikTok is hiring a Machine Learning Engineer for the E-commerce Feed Recommendation team in San Jose. You will develop large-scale recommendation algorithms for live-streaming and short video commerce, focusing on user interest modeling and ranking.

You will build and optimize models (CTR/ CVR) and real-time data pipelines, collaborate with cross-functional teams, and contribute to the deployment and monitoring of production systems. This role offers strong growth in a fast-moving tech company.