Senior ML Eng Manager - LLM Moderation & Safety

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

Job summary

TikTok is seeking a skilled professional to lead the design of next-generation LLM-based moderation solutions and scalable classifiers. You will collaborate with engineering to deploy pipelines at scale and work with product teams to sharpen trust and safety objectives, while partnering with data analysts to uncover actionable data patterns.

The role focuses on building robust ML systems within a fast-growing Trust and Safety function, leveraging cutting-edge frameworks and techniques to protect

Qualifications

• Minimum 1 year of people management experience.
• Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as Python or Java.
• Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms.
• Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems.

Responsibilities

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

Skills

People management

PyTorch

TensorFlow

Python

Data structures

Algorithms

Communication

Teamwork

Python

Java

Tools

Python

Java

PyTorch

TensorFlow

Job description

TikTok is seeking a skilled professional to lead the design of next-generation LLM-based moderation solutions and scalable classifiers. You will collaborate with engineering to deploy pipelines at scale and work with product teams to sharpen trust and safety objectives, while partnering with data analysts to uncover actionable data patterns.

The role focuses on building robust ML systems within a fast-growing Trust and Safety function, leveraging cutting-edge frameworks and techniques to protect