PhD Large-Model Algorithms Intern (LLM/NLP)

Bytedance; Singapore; On-site; SGD 33,000 - 56,000; Full time

Job summary

ByteDance's Data Model team in Singapore is seeking PhD interns to contribute to large-model applications in data intelligence. You will work on data-centric algorithm design, optimize reasoning pipelines, and explore domain adaptation strategies for data products.

Interns commit to at least 3 months and may contribute to research efforts, with opportunities to publish and impact product development. Rolling reviews encourage early applications from candidates.

Qualifications

• Pursuing PhD in CS, engineering or a quantitative field.
• Proficiency in Python and PyTorch.
• Familiarity with research work and algorithms in the large-model field, especially reinforcement learning.

Responsibilities

• Data enhancement algorithm optimization: design a data-centric framework for data reasoning tasks and improve training data diversity and consistency.
• Innovative integration of data and reasoning LLM: explore OpenAI planning, and apply LLMs to complex data analysis and development tasks.
• Application and implementation of reasoning LLM: follow SOTA models, optimize post-training domain adaptation, and validate value through evaluation systems.

Skills

Python

PyTorch

Reinforcement learning

Education

PhD candidate in Computer Science, engineering or quantitative field

Job description

ByteDance's Data Model team in Singapore is seeking PhD interns to contribute to large-model applications in data intelligence. You will work on data-centric algorithm design, optimize reasoning pipelines, and explore domain adaptation strategies for data products.

Interns commit to at least 3 months and may contribute to research efforts, with opportunities to publish and impact product development. Rolling reviews encourage early applications from candidates.