Multimodal ML Engineer - Short Video Content

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 388,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Parental leave

Disability coverage

Wellbeing benefits

10 paid holidays

10 paid sick days

17 days Paid Personal Time

Job summary

TikTok Inc. in California is seeking a research-oriented engineer to lead multimodal algorithm development for the short-video platform.

You will explore applications of multimodal technologies in recommendation systems and related areas, and work on LLM/MLLM approaches to improve content understanding. You will drive production deployment, ensure model stability and scalability, and collaborate across teams to turn research into impactful products.

Qualifications

• Proven experience in multimodal content understanding, with expertise in large language models (LLMs).
• Strong technical foundation in PyTorch or TensorFlow.
• Proactive mindset, ownership, excellent communication, and ability to collaborate across teams.
• Hands-on experience deploying content understanding solutions in search, advertising, or recommendation.

Responsibilities

• Lead multimodal algorithm development for TikTok's short-video business, explore applications of multimodal technologies in recommendation systems and other scenarios to improve key business metrics.
• Conduct cutting-edge research in multimodal and MLLM technologies, design advanced algorithms to solve business requirements while achieving technical breakthroughs.
• Drive engineering deployment and implementation, ensuring model stability, scalability, and efficiency in production environments.
• Focus on key areas including general AI platform design and development, multimodal integration with recommendation systems, and end-to-end generative models.

Skills

Multimodal content understanding

LLMs

Communication skills

Ownership

Team collaboration

Tools

PyTorch

TensorFlow

Job description

TikTok Inc. in California is seeking a research-oriented engineer to lead multimodal algorithm development for the short-video platform.

You will explore applications of multimodal technologies in recommendation systems and related areas, and work on LLM/MLLM approaches to improve content understanding. You will drive production deployment, ensure model stability and scalability, and collaborate across teams to turn research into impactful products.