ByteDance

2 days ago

Research Scientist - Compute AI Infra - 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: 31 minutes agoStatus: Live

Job Summary

Research and develop next-generation AI-native infrastructure for large-scale LLM and AI agent workloads. Work on AI training and inference infrastructure, fault localization and observability for AI clusters, serverless elastic storage and acceleration for AI scenarios, heterogeneous GPU/CPU/MEM power and scheduling systems, and low-latency, low-cost vector retrieval engines. Collaborate with academia and open source communities and publish academic papers.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Develop key technologies to optimize the AI infrastructure stack, including training infrastructure, inference infrastructure, and AI agents.
•Conduct systematic research across the AI infrastructure stack, including network and observability, storage systems, and data center power scheduling.
•Research and build capabilities for low-latency, low-cost vector retrieval engines and distributed vector index systems for LLM-powered applications.
•Explore intelligent infrastructure optimization driven by AI agent workflows and enable full-stack intelligent optimization through AI for infrastructure.
•Collaborate with academia and open source communities, and present research and products in academic papers.

Key Requirements

•Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, Artificial Intelligence, or a related technical field.
•Experience in at least one area of LLM training infrastructure (e.g., RL training, knowledge distillation), LLM inference infrastructure, or AI agents/agent infrastructure (e.g., coding agents, agent memory, agent sandbox).
•Strong ability to continuously learn and quickly grasp and apply new AI technologies.
•Good communication and teamwork skills.
•Ability to commit to an onboarding date by end of year 2027 and clearly state availability and graduation date in the resume.

Experience:AI infrastructureLLM trainingLLM inferenceAI agentsOpen source

Education:PhD / Doctorate

Skills:CommunicationTeamwork

Tech Stack:LLMsRL trainingKnowledge distillationPyTorchVLLMSGLangTime-series databasesGPU kernel optimizationsVector retrievalFault localizationRoot cause analysisServerlessDPU

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

2 days ago

Research Scientist - Compute AI Infra - 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: 31 minutes agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Develop key technologies to optimize the AI infrastructure stack, including training infrastructure, inference infrastructure, and AI agents.
•Conduct systematic research across the AI infrastructure stack, including network and observability, storage systems, and data center power scheduling.
•Research and build capabilities for low-latency, low-cost vector retrieval engines and distributed vector index systems for LLM-powered applications.
•Explore intelligent infrastructure optimization driven by AI agent workflows and enable full-stack intelligent optimization through AI for infrastructure.
•Collaborate with academia and open source communities, and present research and products in academic papers.

Key Requirements

•Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, Artificial Intelligence, or a related technical field.
•Experience in at least one area of LLM training infrastructure (e.g., RL training, knowledge distillation), LLM inference infrastructure, or AI agents/agent infrastructure (e.g., coding agents, agent memory, agent sandbox).
•Strong ability to continuously learn and quickly grasp and apply new AI technologies.
•Good communication and teamwork skills.
•Ability to commit to an onboarding date by end of year 2027 and clearly state availability and graduation date in the resume.

Experience:AI infrastructureLLM trainingLLM inferenceAI agentsOpen source

Education:PhD / Doctorate

Skills:CommunicationTeamwork

Tech Stack:LLMsRL trainingKnowledge distillationPyTorchVLLMSGLangTime-series databasesGPU kernel optimizationsVector retrievalFault localizationRoot cause analysisServerlessDPU

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