2 days ago

Data Knowledge System Research Scientist - (Data Platform-Global Live) - 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: 3 hours agoStatus: Live

Job Summary

Research and design a unified knowledge system for enterprise data in the LLM era, enabling reliable query, reasoning, and execution for TikTok LIVE. Build RAG-based knowledge systems with low latency, develop ontology/semantic layers, and design batch + real-time knowledge ingestion and updates. Improve LLM grounding, traceability, and reliability, explore agent-based reasoning/execution frameworks, and prototype ideas for production deployment.

Location: San Jose

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Research and design unified knowledge representations for enterprise data.
•Explore and build RAG-based knowledge systems with high accuracy and low latency.
•Develop ontology/semantic layers to bridge data and LLM understanding.
•Design knowledge ingestion and update mechanisms (batch + real-time).
•Explore agent-based reasoning and execution frameworks and prototype ideas for production systems.

Key Requirements

•Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong programming skills in Python, Java, or Scala.
•Solid understanding of data systems, data modeling, or distributed systems.
•Experience in at least one area: data engineering/backend systems or machine learning/LLM systems.
•Strong problem-solving skills and curiosity about new technologies.

Experience:LLMRAGData engineeringMachine learningDistributed systems

Education:PhD / Doctorate

Skills:Problem-solvingCuriosity

Tech Stack:PythonJavaScalaLLMRAGVector databasesKnowledge graphsOntology modelingFlinkKafka

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

2 days ago

Data Knowledge System Research Scientist - (Data Platform-Global Live) - 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: 3 hours agoStatus: Live

Job Summary

Location: San Jose

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Graduate level

Key Responsibilities

•Research and design unified knowledge representations for enterprise data.
•Explore and build RAG-based knowledge systems with high accuracy and low latency.
•Develop ontology/semantic layers to bridge data and LLM understanding.
•Design knowledge ingestion and update mechanisms (batch + real-time).
•Explore agent-based reasoning and execution frameworks and prototype ideas for production systems.

Key Requirements

•Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong programming skills in Python, Java, or Scala.
•Solid understanding of data systems, data modeling, or distributed systems.
•Experience in at least one area: data engineering/backend systems or machine learning/LLM systems.
•Strong problem-solving skills and curiosity about new technologies.

Experience:LLMRAGData engineeringMachine learningDistributed systems

Education:PhD / Doctorate

Skills:Problem-solvingCuriosity

Tech Stack:PythonJavaScalaLLMRAGVector databasesKnowledge graphsOntology modelingFlinkKafka

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn