Backed by Lux and USV.
About the role
Working on the Data Science Functional Team, you'll drive product and business impact through improving our search engine ranking and results. Recent projects include: Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.
What they're looking for
- Running search-specific projects (ranking, retrieval, or indexing) from scoping to production
- Working with large-scale search infrastructure (e.g. Vespa, Elasticsearch, OpenSearch, or Solr)
More about this role
Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac , Windows , iOS , and Android , our search engine , and the DuckDuckGo subscription . We also offer private, useful, and optional AI, including Duck.ai , which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
Working on the Data Science Functional Team, you'll drive product and business impact through improving our search engine ranking and results. Recent projects include:
Improving first-phase ranking quality and precision without sacrificing latency
Developing new lexical-matching and document-authority signals
Expanding our search evaluations to measure relevancy readiness and surface ranking blindspots
Investigating...
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