Trust & Safety ML Engineering Lead

TikTok; San Jose (CA); On-site; USD 308,000 - 588,000; Full time

Job summary

TikTok is seeking a leader in machine learning to strengthen Trust and Safety with next‑gen moderation solutions. You will design scalable LLM-based systems and collaborate with engineering and product teams to deploy robust models at scale.

The role demands hands-on experience with deep learning, Python and distributed systems, plus strong communication and teamwork to navigate a fast‑paced, global platform.

Qualifications

• At least 1 year of people management experience.
• Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as Python or Java.
• Strong Python skills and solid knowledge of data structures and algorithms.
• Good communication and teamwork skills.

Responsibilities

• Play a key role in designing next generation LLM based moderation solutions.
• Work on scalable classifiers, predictive models and algorithms with cutting-edge technologies.
• Collaborate with engineering teams to implement model pipelines and deploy services at scale.
• Collaborate with product teams to define objectives and improve trust and safety strategy.
• Collaborate with data analysts to understand and find data patterns.

Skills

Python

Java

PyTorch

TensorFlow

Teamwork

Communication

Data structures

Algorithms

Tools

LLMs

NLP

Job description

TikTok is seeking a leader in machine learning to strengthen Trust and Safety with next‑gen moderation solutions. You will design scalable LLM-based systems and collaborate with engineering and product teams to deploy robust models at scale.

The role demands hands-on experience with deep learning, Python and distributed systems, plus strong communication and teamwork to navigate a fast‑paced, global platform.