Senior Search & Vector Engine Engineer

ByteDance; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Job summary

ByteDance is hiring for a role on the Search team in the United States. The role focuses on building and enhancing high-performance search and vector retrieval capabilities across Elasticsearch/OpenSearch and Milvus.

You will optimize indexing, support hybrid and multi-vector search, and work on cloud-native architectures for scalable data lake search. Ideal candidates have a strong CS or related degree, hands-on production experience with search engines, and deep knowledge of distributed

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 Elasticsearch/OpenSearch and Milvus products, building high-performance 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

Education

B.S in Computer Science / AI / ML or related field

Tools

Elasticsearch/OpenSearch

Milvus

Job description

ByteDance is hiring for a role on the Search team in the United States. The role focuses on building and enhancing high-performance search and vector retrieval capabilities across Elasticsearch/OpenSearch and Milvus.

You will optimize indexing, support hybrid and multi-vector search, and work on cloud-native architectures for scalable data lake search. Ideal candidates have a strong CS or related degree, hands-on production experience with search engines, and deep knowledge of distributed