Remote Senior Search Engineer: Indexing & Retrieval

You.com

United States

Remote

USD 190,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Hubs in SF/NYC with co-working
Flexible PTO with U.S. holidays
Health insurance coverage
Paid parental leave
401k with match
Work-from-home stipend
Technology stipend
Health & Wellness allowance
Opportunity to work with leading AI R

Job summary

You.com is seeking a Search Engineer in the United States to design and implement scalable indexing pipelines for web-scale data. You will advance retrieval, ranking, and signaling, applying NLP and ML techniques to improve speed and relevance.

Collaboration with data and product teams is essential to translate research into production. The role emphasizes efficiency, performance, and staying current with information retrieval and distributed systems research.

Qualifications

  • Proven experience in search indexing, information retrieval, or large-scale data systems.
  • Strong programming skills in Rust/C++ and Python.
  • Solid understanding of algorithms, data structures, and distributed systems.
  • Experience with experimental design, prototyping, and translating research into production.

Responsibilities

  • Design and implement scalable indexing systems for web-scale data.
  • Advance search retrieval and ranking using NLP, ML, and modern methods.
  • Collaborate with data/ML engineers and product teams to integrate new features and signals.
  • Profile and optimize indexing workflows for low latency and high throughput.
  • Define success metrics, run experiments, and analyze results to guide development.

Skills

Rust/C++
Python
Information retrieval
Distributed systems
Search indexing

Education

Bachelor's or Master's in CS/Engineering

Job description

You.com is seeking a Search Engineer in the United States to design and implement scalable indexing pipelines for web-scale data. You will advance retrieval, ranking, and signaling, applying NLP and ML techniques to improve speed and relevance.

Collaboration with data and product teams is essential to translate research into production. The role emphasizes efficiency, performance, and staying current with information retrieval and distributed systems research.

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