ByteDance

1 day ago

Research Scientist - Data Center AIOps & Infrastructure - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Join a 2027 PhD graduate program to advance data center AIOps and infrastructure. Work on innovations in liquid/water-saving or water-free cooling, power supply and energy storage, and carbon-neutral operations. Build an AI agent system for maintenance using large multimodal models to automate monitoring, diagnosis, and repair, optimizing power usage effectiveness (PUE) via predictive, closed-loop reinforcement learning.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Drive research and development for data center infrastructure standards and built-to-suit/leased projects in the Asia Pacific region.
•Innovate on cooling and power technologies, including liquid cooling and water-saving or water-free cooling, plus power supply and energy storage to meet high-density needs.
•Develop an AI agent system for data center maintenance that learns from large multimodal maintenance data to support monitoring, diagnosis, and repair.
•Build an intelligent closed-loop approach to optimize HVAC and power systems using time sequence prediction and reinforcement learning.
•Enable automated root-cause analysis from heterogeneous monitoring data and ensure AI operations integrate with existing platforms and tools.

Key Requirements

•Ph.D. in Electrical Engineering, Thermal Engineering, Energy & Power, Materials, Refrigeration, Environmental Engineering, Mechanical Engineering, Computer Science, Automation, or related fields (preferred).
•Strong problem analysis and solving skills with an innovative, rigorous mindset and the ability to independently overcome technical difficulties.
•Independent research capabilities for theoretical and applied research.
•Familiarity with liquid cooling, thermal management, hydrophilic coatings, renewable energy, and energy storage; stay current on cutting-edge industry technologies.
•Preferred: familiarity with LLM principles and technology ecosystems, including experience with large model applications or multimodal content understanding.

Education:PhD / Doctorate

Skills:Problem analysisIndependent research

Tech Stack:AI agent systemLLMReinforcement learningMultimodalLiquid coolingThermal managementHydrophilic coatingsHVACEnergy storagePUEWater-saving cooling

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

1 day ago

Research Scientist - Data Center AIOps & Infrastructure - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Drive research and development for data center infrastructure standards and built-to-suit/leased projects in the Asia Pacific region.
•Innovate on cooling and power technologies, including liquid cooling and water-saving or water-free cooling, plus power supply and energy storage to meet high-density needs.
•Develop an AI agent system for data center maintenance that learns from large multimodal maintenance data to support monitoring, diagnosis, and repair.
•Build an intelligent closed-loop approach to optimize HVAC and power systems using time sequence prediction and reinforcement learning.
•Enable automated root-cause analysis from heterogeneous monitoring data and ensure AI operations integrate with existing platforms and tools.

Key Requirements

•Ph.D. in Electrical Engineering, Thermal Engineering, Energy & Power, Materials, Refrigeration, Environmental Engineering, Mechanical Engineering, Computer Science, Automation, or related fields (preferred).
•Strong problem analysis and solving skills with an innovative, rigorous mindset and the ability to independently overcome technical difficulties.
•Independent research capabilities for theoretical and applied research.
•Familiarity with liquid cooling, thermal management, hydrophilic coatings, renewable energy, and energy storage; stay current on cutting-edge industry technologies.
•Preferred: familiarity with LLM principles and technology ecosystems, including experience with large model applications or multimodal content understanding.

Education:PhD / Doctorate

Skills:Problem analysisIndependent research

Tech Stack:AI agent systemLLMReinforcement learningMultimodalLiquid coolingThermal managementHydrophilic coatingsHVACEnergy storagePUEWater-saving cooling

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn