ByteDance
Research Scientist, ML Recommendation Systems, Applied Machine Learning Team
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- At least 5 years.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
About the job
Research and build large-scale recommendation models and systems, from model development through production deployment, to improve user personalization and experience.
What you'll do
- Build and scale machine learning models for recommendation systems.
- Research and apply multimodal techniques and long-term user behavior signals, including reinforcement learning.
- Co-design high-performance, low-latency recommendation systems and test and deploy end-to-end solutions with partner teams.
What they ask for
- At least 5 years of experience; proficiency in one or more programming languages and deep learning frameworks.
- Demonstrated expertise designing, building, and scaling recommendation-system models.
- Hands-on experience with Transformers, Large Language Models (LLMs), and multimodal learning.
- Proven experience deploying end-to-end ML pipelines in production and publications at accredited peer-reviewed conferences.
Nice to have
- Ph.D. in a relevant field.
Tools
Python, C++, PyTorch, TensorFlow, Transformers, Large Language Models (LLMs)
AI focus
Develop recommendation systems using multimodal learning, long-term behavior signals, and reinforcement learning for personalization.
Model-written summary · the original posting is authoritative