ByteDance
Research Engineer/Scientist(all levels), Efficient Models
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- B.S. in Computer Science or related fields, or equivalent experience; Ph.D. in GenAI, MLSys or equivalent experience preferred.
About the job
Designs and implements efficient models, methods, and infrastructure for large-scale generative and multimodal AI, focusing on distillation, compression, acceleration, and deployment.
What you'll do
- Develop efficient algorithms and architectures for generative and multimodal models using methods such as distillation and quantization.
- Advance diffusion and autoregressive modeling approaches focused on acceleration and efficiency.
What they ask for
- B.S. in Computer Science or a related field, or equivalent experience.
- Expertise in efficient models, computational bottlenecks, and acceleration methods.
- Proficiency training generative AI or LLM models with widely adopted frameworks and tools.
- Strong communication and collaboration skills.
Nice to have
- Ph.D. in GenAI, MLSys, or equivalent experience.
- Research experience in GenAI, MLSys, or LLMs, and experience in at least one listed area such as generation, compression, efficient architectures, or reinforcement learning.
Tools
PyTorch, JAX
AI focus
Applied research and engineering for efficient generative and multimodal AI, including model distillation, compression, quantization, acceleration, and deployment.
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