Senior Machine Learning Engineer - TikTok Content Ecology

Tiktok

San Jose, CA

Full Time

Senior

194k-355k

6 days ago

Job Description

About the Role

TikTok Content Ecology Algorithm Team leverages multimodal, LLM/MLLM, NLP & CV, and recommendation technologies to provide platform-level algorithmic capabilities for various business lines, including local services, search, main architecture, PGC (Professionally Generated Content), and UG (User Growth). Our work spans short video content understanding, global trending event detection, intelligent customer service, and inspiration recommendation. The team develops cutting-edge AI capabilities that power multiple business lines and directly impacts TikTok's growth and user engagement. We focus on building multimodal AI models, real-time trend detection, chatbot solutions, and personalized content discovery, working with millions of daily users and a large creator base.

Key Responsibilities

Develop and optimize LLM, NLP, CV, and recommendation models to improve TikTok's content ecosystem.
Implement multimodal AI solutions, integrating video, text, and speech understanding.
Optimize LLM-powered search, discovery, and content recommendation systems for better user engagement.
Train and fine-tune deep learning models using TensorFlow, PyTorch, or other ML frameworks.
Deploy and scale machine learning solutions in a distributed computing environment.
Work closely with AI researchers, software engineers, and business teams to apply AI technologies effectively.

Requirements

Strong programming skills in Python, C++, or similar languages.
Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
Solid understanding of machine learning, NLP, CV, or recommendation algorithms.
Experience with distributed computing and optimizing AI models for real-world applications.
Ability to apply machine learning techniques to enhance business and user experiences.

Nice to Have

Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field, OR a Bachelor's degree with exceptional research or industry experience.
3+ years of research or industry experience in LLMs (GPT-style models), multimodal learning, or large-scale ML systems.
Publications in top AI/ML conferences (NeurIPS, ICML, CVPR, ACL, etc.) or strong contributions to open-source AI projects.

Qualifications

Educational background in Computer Science, Machine Learning, AI, or related fields (Master's or Ph.D. preferred).
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Research or industry experience in LLMs, multimodal learning, or large-scale ML systems.

Benefits & Perks

Annual base salary range of $194,000 - $355,000, depending on qualifications and location.
Discretionary bonuses/incentives and restricted stock units.
Day one access to medical, dental, and vision insurance.
401(k) savings plan with company match.
Paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits.
10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated upon hire).

Working at Tiktok

Our company believes that criminal history may have a direct, adverse and negative relationship on certain job duties, including interacting with clients and colleagues, handling confidential information, and exercising sound judgment. We are committed to fair employment practices and consider qualified applicants with arrest or conviction records in accordance with applicable laws.

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