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Large Model Training Acceleration Engineer

ByteDance
San Jose, United Statesfull_timeVerifiedPosted 14 Feb 2026
💰 $359,720/yr($136,800/yr$359,720/yr)

About the role

Team Introduction
The Intelligent Creation - AI Platform team is a team focusing on building advanced end-to-end AI production pipelines, including deep learning model training, optimization, deployment and applications. We provide AI capabilities to empower content creation and consumption on TikTok and serve billions of users.

We are seeking an experienced AI model optimization engineer with expertise in optimizing AI model training and inference, including distributed training/inference and acceleration. The ideal candidate will work at the cutting edge of AI efficiency, enhancing the performance, scalability, and deployment of large-scale generative AI models.

Responsibilities
- Optimize large model training pipelines to improve efficiency, speed, and scalability.
- Develop and improve distributed training strategies such as data parallelism, model parallelism, pipeline parallelism and communication to accelerate model training.
- Benchmark and profile deep learning models to identify performance bottlenecks and optimize computational resources.

The base salary range for this position in the selected city is $136800 - $359720 annually.

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Company

ByteDance

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