Senior Research Scientist, ByteBrain Infrastructure Operation Technology - Infrastructure San Jose Regular

Bytedance; San Jose (CA); Hybrid; USD 150,000 - 230,000; Full time

Job summary

ByteDance's ByteBrain Infrastructure Operation is seeking a Senior Research Scientist to advance AI-driven optimization for large-scale datacenter infrastructure in San Jose.

You will design AI/ML algorithms, deploy them in production, identify optimization opportunities, and publish findings at top conferences. This role blends research and engineering, requiring strong coding skills and cross-functional collaboration to push the boundaries of infrastructure intelligence.

Qualifications

• Proven track record with publications in top-tier venues in AI, ML, operations research, or related fields.
• Deep expertise in AI/ML and/or operations research, with hands-on experience in large-scale data analysis and algorithm development.
• Strong coding, implementation, and problem-solving skills bridging research and production systems.
• Excellent communication and cross-functional collaboration abilities.

Responsibilities

• Design and develop AI, ML, and optimization algorithms to improve efficiency, reliability, and performance of large-scale infrastructure systems.
• Drive deployment, scaling, and continuous improvement of algorithms in production environments for large-scale services.
• Identify optimization opportunities from real-world infrastructure scenarios and translate them into impactful research solutions.
• Conduct cutting-edge research and publish high-quality papers in top-tier conferences and journals.

Skills

AI/ML research

Operations Research

Data analysis

Coding skills

Communication

Job description

Senior Research Scientist, ByteBrain Infrastructure Operation

Location:

San Jose

Team:

Infrastructure

Employment Type:

Regular

Job Code:

A06931

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Responsibilities

Team IntroductionByteBrain is ByteDance’s AI for Infrastructure (AI4Infra) platform, dedicated to improving the efficiency, reliability, and intelligence of large-scale infrastructure systems through AI and machine learning. ByteBrain supports a wide range of infrastructure domains, including AI data center supply chains, databases, storage systems, networking, containers and virtualization, and big data platforms, powering infrastructure optimization at massive scale.This role sits at the intersection of: Operations Research × AIOps × AI for InfraYou will have the opportunity to solve some of the most challenging optimization problems behind large-scale AI datacenters while pioneering the next generation of AI-powered decision-making systems, where LLMs, and optimization algorithms work together to improve efficiency, resource utilization, and operational intelligence across ByteDance's global infrastructure.

• Design and develop AI, machine learning, and optimization algorithms to improve the efficiency, reliability, and performance of large-scale infrastructure systems. Areas may include AIOps, operations research, software engineering, and system optimization.
• 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.

Qualifications

Minimum Qualifications

• Proven research track record with multiple publications in top-tier conferences or journals related to AI, machine learning, operations research, systems, or related fields.
• Deep expertise in AI, machine learning, and/or operations research, with hands‑on experience in large-scale data analysis and algorithm development.
• Strong coding, implementation, and problem‑solving skills, with the ability to bridge research and production systems.
• Excellent communication and cross‑functional collaboration skills.

Preferred Qualifications

Industry experience applying AI and optimization techniques to real-world infrastructure challenges, such:

• AI data center supply chain optimization
• AI Ops and intelligent operations
• Software engineering productivity optimization
• Operations research and resource scheduling
• System tuning and performance