Applied Scientist, Trust & Safety — Multimodal ML & RL Intern

TikTok; Seattle (WA); On-site; USD 64,781 - 92,264; Part time

Benefits offered by this job

Health insurance

Life insurance

Paid holidays

Paid sick time

Housing allowance

Job summary

TikTok is seeking a Machine Learning Intern based in Seattle, WA, to join their Trust & Safety team. This role involves building machine learning models for content protection, developing multimodal moderation systems, and experimenting with large-scale training architectures. Ideal candidates are PhD students with proficiency in Python, Rust, or C++, and experience in deep learning frameworks. The position offers an hourly compensation of $57 and various benefits including health insurance and paid holidays.

Qualifications

• Currently pursuing a PhD in Computer Science, Data Science, or a related field.
• Strong understanding of cutting-edge LLM research and practical implementation experience.
• Experience with GPU acceleration and large-scale AI networks is desirable.

Responsibilities

• Build machine learning models to protect user content.
• Develop multimodal moderation foundation models.
• Experiment with large-scale MoE architecture training.

Skills

Python

Rust

C++

Deep learning frameworks (PyTorch, Megatron, VLLM)

Reinforcement learning

Distributed computing frameworks

Problem-solving skills

Generalization testing

Education

PhD in Computer Science, Data Science, Artificial Intelligence, or related field

Job description

TikTok is seeking a Machine Learning Intern based in Seattle, WA, to join their Trust & Safety team. This role involves building machine learning models for content protection, developing multimodal moderation systems, and experimenting with large-scale training architectures. Ideal candidates are PhD students with proficiency in Python, Rust, or C++, and experience in deep learning frameworks. The position offers an hourly compensation of $57 and various benefits including health insurance and paid holidays.