DuckDuckGo

393 Total Employees

Jobs at DuckDuckGo

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Recently posted jobs

One Month AgoSaved
Remote
25 Locations
Information Technology
As a Senior Backend Engineer at DuckDuckGo, you'll lead backend projects, mentor engineers, and develop AI-enhanced features for the company's privacy-centric product line.
Information Technology
Lead and scale complex product partnerships end-to-end, sourcing, negotiating, and operationalizing strategic deals that enhance DuckDuckGo products (search, Duck.ai, subscriptions). Work cross-functionally with Product, Engineering, Legal, and Finance to build first-of-their-kind integrations, create playbooks, manage partner portfolios, and drive distribution and user engagement for AI-related services.
2 Days AgoSaved
In-Office or Remote
31 Locations
Information Technology
Own web compatibility triage and incident response across DuckDuckGo browsers on Mac, Windows, iOS, and Android. Debug complex web applications and third-party code, distinguish site, browser, and privacy-related issues, reverse-engineer obfuscated code, build durable cross-platform fixes, and develop automation and LLM agent tooling to reproduce and triage breakage. Lead ambiguous projects independently and communicate with technical and non-technical stakeholders.
2 Days AgoSaved
In-Office or Remote
29 Locations
Information Technology
Lead and own major components of DuckDuckGo's privacy technology using Go, Node.js, Python, and Perl. Design and implement privacy features, improve search and AI features without compromising privacy, build tracker-detection features, participate in privacy reviews and audits, and mentor engineers over time.
One Month AgoSaved
In-Office or Remote
32 Locations
Information Technology
Lead high-complexity data science initiatives improving search ranking, retrieval, relevance, and evaluation. Develop and deploy production machine-learning and NLP solutions, investigate LLM-based ranking features, optimize SQL queries, and work with sparse privacy-preserving data. Define strategies for ambiguous problems, guide other data scientists, collaborate with product teams, and own projects from scoping through production.