ML Engineer — Multimodal Search & GenRec

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 137,000 - 360,000; Full time

Job summary

TikTok USDS Joint Venture LLC seeks a skilled ML/Search Engineer to advance video, ecommerce, local and AI search capabilities. You will improve query analysis and multi-modal matching, design end-to-end ranking systems, and drive sustainable GMV growth with cross-functional teams.

The role emphasizes generative recommendation systems and collaboration with product managers, data scientists, and engineers to deliver high-impact search improvements at scale.

Qualifications

• Bachelor's or advanced degree in Computer Science, Machine Learning, or related field.
• Proficiency in ML frameworks (TensorFlow, PyTorch) and languages (Python, Java, C++).
• 2+ years building large-scale search or recommendation systems; familiarity with generative frameworks is a plus.

Responsibilities

• Improve search quality and user experience through query analysis and multi-modal matching.
• Design and implement end-to-end ranking systems using large-scale behavioral data.
• Drive ecosystem growth by solving supply/demand matching and growth challenges.
• Experiment with generative recommendation approaches and LLM-driven content ideas.
• Collaborate closely with product, data science, infrastructure, and operations teams.

Skills

TensorFlow

PyTorch

Python

Java

C++

Data structures

Algorithms

Education

Bachelor's or advanced degree in Computer Science

Tools

TensorFlow

PyTorch

Big data tooling

Job description

TikTok USDS Joint Venture LLC seeks a skilled ML/Search Engineer to advance video, ecommerce, local and AI search capabilities. You will improve query analysis and multi-modal matching, design end-to-end ranking systems, and drive sustainable GMV growth with cross-functional teams.

The role emphasizes generative recommendation systems and collaboration with product managers, data scientists, and engineers to deliver high-impact search improvements at scale.