PhD Internship: AI for Infra & AIOps Optimization

ByteDance; San Jose (CA); Hybrid; USD 41,328,000 - 61,992,000; Part time

Job summary

ByteDance's ByteBrain internship in San Jose offers hands-on research at the AI for Infrastructure platform. You will join the Technology team as an intern and contribute to AI, ML, and optimization work aimed at improving large-scale data center systems.

This program blends rigorous research with practical deployment, collaboration with experts, and opportunities to publish. Current PhD students with strong record and deep expertise in AI/ML or OR are encouraged to apply.

Qualifications

• Currently pursuing a PhD in Computer Science or related discipline.
• Proven research track record with multiple publications in top-tier venues.
• Deep expertise in AI, machine learning, and/or operations research.
• Hands-on experience with large-scale data analysis and algorithm development.
• Strong coding, implementation, and problem-solving skills; good communication.

Responsibilities

• Design and develop AI, machine learning, and optimization algorithms to improve the efficiency, reliability, and performance of large-scale infrastructure systems and AI supply chain.
• Drive the deployment, scaling, and continuous improvement of algorithms in production environments, supporting large-scale services.
• Identify optimization opportunities and emerging challenges from real-world infrastructure scenarios, translating them into impactful research and engineering solutions.
• Conduct cutting-edge research and publish high-quality papers in top-tier conferences and journals.

Skills

PhD candidate

AI/ML expertise

Operations research

Publications track record

Coding skills

Communication skills

Education

PhD in Computer Science or related

Job description

ByteDance's ByteBrain internship in San Jose offers hands-on research at the AI for Infrastructure platform. You will join the Technology team as an intern and contribute to AI, ML, and optimization work aimed at improving large-scale data center systems.

This program blends rigorous research with practical deployment, collaboration with experts, and opportunities to publish. Current PhD students with strong record and deep expertise in AI/ML or OR are encouraged to apply.