ByteDance
Research Scientist - Recommendation Modeling & Large-scale Computing Infrastructure - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- For candidates completing or recently completing a PhD; no number of years specified.
- Education
- PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
About the job
Researches and develops large-scale multimodal recommendation systems and efficient machine-learning infrastructure for recommendation and related business applications.
What you'll do
- Conduct research on ultra-large-scale multimodal recommendation systems.
- Work on machine-learning inference optimization, model acceleration, or efficient ML systems.
- Translate research into practical system implementations.
What they ask for
- Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Research background in ML/AI focused on inference optimization, model acceleration, or efficient ML systems.
- Programming experience in one or more of C, C++, Java, or Python.
- Problem-solving skills, self-driven learning mindset, and effective communication.
Nice to have
- Ability to translate research into practical system implementations.
- Academic or practical experience in advertising or recommendation systems, search, distributed systems, or big data processing.
Tools
C, C++, Java, Python
AI focus
Research and development for multimodal recommendation systems, inference optimization, model acceleration, and efficient ML systems.
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