Software Engineer - Search & Vector Database Infrastructure

ByteDance

$128K — $316K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • B.S. in Computer Science, AI, Machine Learning, or related field.
  • Proficient in C++, Golang, Java, or Python.
  • Experience with search engines and distributed systems.
  • Hands-on experience with Elasticsearch/OpenSearch or Milvus.
  • Strong understanding of performance optimization in distributed systems.
  • Deep experience with indexing algorithms like HNSW or IVF.
  • Experience in optimizing vector retrieval on a large scale.

Responsibilities

  • Develop and enhance Elasticsearch/OpenSearch and Milvus products.
  • Build high-performance search and vector retrieval capabilities.
  • Optimize vector indexing and retrieval methods.
  • Explore scalable cloud-native architectures for data lakes.
  • Develop hybrid, filtered, and multi-vector search functionalities.

Benefits

  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave and disability coverage.
  • Life insurance and wellbeing benefits offered.
  • 10 paid holidays and 10 paid sick days annually.
  • 17 days of Paid Personal Time, increasing with tenure.
Full Job Description
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. Qualification Minimum 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. Preferred Qualifications - Deep experience with Elasticsearch/OpenSearch, Lucene, Milvus/Knowhere, or similar systems. - Strong knowledge of full-text search and (multi)-vector indexing, including HNSW, IVF, DiskANN, or related ANN algorithms. - Experience optimizing billion-scale or larger vector retrieval for latency, throughput, recall, and cost. - Experience with cloud-native storage, compute-storage separation, object storage, or lakehouse/lakebase architectures. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $128000 - $316800 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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