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Large-Model Application Scientist (RAG & Deployment)

Posted today

bytedanceSan Jose (CA)

SENIORITY

Manager

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About the role

ByteDance in San Jose is looking for talented PhD graduates to join their Engineering Architecture team focused on integrating large model technology with real-world applications. This role includes designing technical solutions, collaborating with various teams, and contributing to innovative projects. Candidates should have a strong understanding of deep learning principles, familiarity with tools like TensorFlow and PyTorch, and strong communication skills in both English and Mandarin. The position offers a competitive salary and comprehensive benefits.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

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Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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