Senior Multimodal ML Engineer for Short-Video Recommendations

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

Benefits offered by this job

Health/dental/vision

401(k) match

Parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok Inc. in San Jose is seeking a high-impact ML scientist to lead multimodal algorithm development for the Short Video business.

You will advance LLM/MLLM technologies, contribute to generative recommendations, and drive projects from research to production. You will collaborate across teams to improve key metrics, ensure scalable deployments, and push the boundaries of multimodal content understanding, with a focus on end-to-end solutions for large-scale platforms.

Qualifications

• Proven experience in multimodal content understanding with LLMs.
• Strong foundation in PyTorch or TensorFlow.
• Proactive mindset, ownership, and collaboration.

Responsibilities

• Lead multimodal algorithm development for TikTok's short-video business.
• Conduct research in multimodal and MLLM tech to address business needs.
• Drive deployment with focus on stability, scalability, and efficiency.

Skills

Multimodal content understanding

Large language models (LLMs)

PyTorch

TensorFlow

Communication and collaboration

Job description

TikTok Inc. in San Jose is seeking a high-impact ML scientist to lead multimodal algorithm development for the Short Video business.

You will advance LLM/MLLM technologies, contribute to generative recommendations, and drive projects from research to production. You will collaborate across teams to improve key metrics, ensure scalable deployments, and push the boundaries of multimodal content understanding, with a focus on end-to-end solutions for large-scale platforms.