Vector Search Infrastructure Engineer

ByteDance

Seattle (WA)

On-site

USD 154,000 - 301,000

Full time

10 days ago

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Job summary

ByteDance in Seattle is seeking an experienced software engineer to join the Search team. You will help build and optimize high-performance Elasticsearch/OpenSearch and Milvus based search and vector retrieval capabilities, supporting hybrid, full-text, and large-scale vector workloads.

You will work on distributed systems, contribute to open-source ecosystems, and help drive cloud-native architectures for scalable search across data lakes and object storage.

Qualifications

  • B.S in Computer Science, AI, Machine Learning, or a related field.
  • Strong software engineering skills in C++, Golang, Java, or Python.
  • Experience with search engines, databases, storage systems, or distributed systems.
  • Hands-on experience with Elasticsearch/OpenSearch or Milvus in production or system development.
  • Strong understanding of distributed systems and performance optimization.

Responsibilities

  • Develop and evolve our Elasticsearch/OpenSearch and Milvus products, building high-performance and scalable search and vector retrieval capabilities.
  • Develop high-performance full-text and vector search, including hybrid search, filtered search, multi-vector search, and large-scale ANN retrieval.
  • Optimize vector indexing and distributed retrieval across HNSW, IVF, DiskANN, RaBitQ, storage, caching, and I/O.
  • Explore cloud-native Vector Lakebase architectures for scalable search over data lakes and object storage.

Skills

C++
Golang
Java
Python
Distributed systems
Search engines
Elasticsearch/OpenSearch
Milvus

Education

B.S. in Computer Science or related field

Tools

Elasticsearch/OpenSearch in production
Milvus
Knowhere
Lucene

Job description

ByteDance in Seattle is seeking an experienced software engineer to join the Search team. You will help build and optimize high-performance Elasticsearch/OpenSearch and Milvus based search and vector retrieval capabilities, supporting hybrid, full-text, and large-scale vector workloads.

You will work on distributed systems, contribute to open-source ecosystems, and help drive cloud-native architectures for scalable search across data lakes and object storage.

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