Multimodal ML Engineer: Short-Video Content & Recs

Ellis Technologies, Inc.; San Jose (CA); On-site; USD 156,000 - 387,600; Full time

Job summary

Ellis Technologies, Inc. is seeking a Machine Learning Engineer in San Jose to lead multimodal algorithm development for TikTok's short video content understanding. You will research and implement advanced technologies to enhance recommendation systems and drive model stability in production environments.

The ideal candidate will have proven experience in multimodal content understanding and LLMs, strong skills in frameworks like PyTorch or TensorFlow, and a proactive mindset for effective collaboration.

Qualifications

• Proven experience in multimodal content understanding.
• Expertise in large language models (LLMs).
• Strong technical foundation in deep learning frameworks.

Responsibilities

• Lead multimodal algorithm development for TikTok’s short-video business.
• Conduct cutting-edge research in multimodal and MLLM technologies.
• Drive engineering deployment ensuring model stability and efficiency.

Skills

Multimodal content understanding

Large language models (LLMs)

Deep learning frameworks

Collaboration skills

Proactive mindset

Tools

PyTorch

TensorFlow

Job description

Ellis Technologies, Inc. is seeking a Machine Learning Engineer in San Jose to lead multimodal algorithm development for TikTok's short video content understanding. You will research and implement advanced technologies to enhance recommendation systems and drive model stability in production environments.

The ideal candidate will have proven experience in multimodal content understanding and LLMs, strong skills in frameworks like PyTorch or TensorFlow, and a proactive mindset for effective collaboration.