Lead ML Engineer, Trust & Safety — LLM Moderation

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

Job summary

TikTok is seeking a leader for Trust and Safety to design next-generation moderation solutions powered by large language models. You will build scalable classifiers, predictive models and algorithms, and collaborate with engineering to deploy at scale.

You will work with product teams to define objectives, improve trust and safety strategy, and partner with data analysts to uncover data patterns. Experience in ML/DL and leadership is required.

Qualifications

• At least 1 year of people management experience.
• Proficient in PyTorch and TensorFlow; Python or Java proficiency.
• Strong programming skills in Python and similar languages; solid data structures and algorithms knowledge.
• Strong communication and teamwork skills; eagerness to learn and tackle challenges.

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.
• Collaborate with engineering teams to implement model pipelines and deploy services at scale.
• Partner with product teams to define objectives and improve trust and safety strategy.
• Collaborate with data analysts to understand data patterns.

Skills

People management

Python

Java

Deep learning

Communication

Teamwork

Tools

PyTorch

TensorFlow

Job description

TikTok is seeking a leader for Trust and Safety to design next-generation moderation solutions powered by large language models. You will build scalable classifiers, predictive models and algorithms, and collaborate with engineering to deploy at scale.

You will work with product teams to define objectives, improve trust and safety strategy, and partner with data analysts to uncover data patterns. Experience in ML/DL and leadership is required.