ByteDance

1 day ago

Software Engineer / Researcher, AI-Native database systems

✓ 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 ByteDance’s database R&D team to build AI-native database systems that act as reasoning engines, retrieval platforms, and real-time memory for AI agents. You’ll architect and implement storage engines and low-latency distributed vector search, develop LLM-augmented query processors, and help deliver RAG infrastructure and agent memory backends. Work across structured, unstructured, and vectorized data to power intelligent experiences across TikTok and CapCut.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect and implement AI-native databases integrating structured, unstructured, and vectorized data.
•Design storage engines optimized for embedding ingestion, multimodal retrieval, and real-time AI interaction.
•Build scalable, distributed vector search systems with low-latency guarantees.
•Develop AI-augmented query processors using LLMs for semantic parsing, intent understanding, and cost estimation.
•Collaborate on RAG infrastructure and LLM agent memory backends, and drive innovations such as learned indexes and self-optimizing databases.

Key Requirements

•Bachelor’s, Master’s, or Ph.D. in Computer Science (or related) with strong systems or AI research experience.
•2+ years in core database systems, large-scale distributed infrastructure, or machine learning systems.
•Strong coding and system-level design skills in C++ / Rust / Go.
•Deep expertise in storage engine architecture (e.g., LSM-trees, column stores, HTAP) and/or vector retrieval (similarity search, ANN indexing).
•Ability to collaborate across research, engineering, and product teams to translate ideas into production systems.

Education:

Skills:CollaborationProblem-solving

Tech Stack:C++RustGoLLMsRAGVector searchVector retrievalEmbedding ingestionSimilarity searchANN indexingLSM-treesColumn storesHTAPFaissMilvusDuckDBClickHouseTiKVRocksDBGCP

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

Software Engineer / Researcher, AI-Native database systems

✓ 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: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Architect and implement AI-native databases integrating structured, unstructured, and vectorized data.
•Design storage engines optimized for embedding ingestion, multimodal retrieval, and real-time AI interaction.
•Build scalable, distributed vector search systems with low-latency guarantees.
•Develop AI-augmented query processors using LLMs for semantic parsing, intent understanding, and cost estimation.
•Collaborate on RAG infrastructure and LLM agent memory backends, and drive innovations such as learned indexes and self-optimizing databases.

Key Requirements

•Bachelor’s, Master’s, or Ph.D. in Computer Science (or related) with strong systems or AI research experience.
•2+ years in core database systems, large-scale distributed infrastructure, or machine learning systems.
•Strong coding and system-level design skills in C++ / Rust / Go.
•Deep expertise in storage engine architecture (e.g., LSM-trees, column stores, HTAP) and/or vector retrieval (similarity search, ANN indexing).
•Ability to collaborate across research, engineering, and product teams to translate ideas into production systems.

Education:

Skills:CollaborationProblem-solving

Tech Stack:C++RustGoLLMsRAGVector searchVector retrievalEmbedding ingestionSimilarity searchANN indexingLSM-treesColumn storesHTAPFaissMilvusDuckDBClickHouseTiKVRocksDBGCP

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