About Us
At You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information.
Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful.
Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge.
you.com is an AI Infrastructure company and designed to empower customers with the highest quality search and AI tools. At you.com, we are on a mission to create the most helpful search engine in the world—one that prioritizes transparency, privacy, and user control.
We’re building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At you.com, you’ll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you’re ready to make a difference and help us revolutionize the way people search and work, we’d love to have you join us!
About the Role
As a Search Engineer at You.com, you will blend deep analytical thinking with practical engineering skills to investigate, develop, and implement novel solutions for our search indexing systems. Your work will focus on advancing the core technology that powers our search engine, ensuring that our index is comprehensive, up-to-date, and optimized for speed and relevance. You will collaborate closely with cross-functional teams to translate complex research into practical, scalable applications.
This is a remote position open to candidates based in the United States. We also have co-working spaces in the San Francisco Bay Area and New York.
Responsibilities
- Design and Implement Scalable Indexing Systems: Architect, prototype, and maintain efficient, robust, and distributed indexing pipelines for web-scale data.
- Advance Search Retrieval/Ranking: Research and apply state-of-the-art methods (NLP, ranking, ML) to improve index quality, freshness, and retrieval performance.
- Collaborate Across Teams: Work closely with data engineers, ML engineers, and product teams to integrate novel features and user signals into the search systems.
- Profound love for Speed and Efficiency: Profile and optimize indexing workflows for low latency and high throughput.
- Evaluate and Benchmark: Define success metrics, run experiments, and analyze results to guide development and measure impact.
- Stay Current: Keep up with the latest research in information retrieval, large language models, and distributed systems—bringing fresh ideas to You.com’s search stack.
Qualifications
- Proven experience in search indexing, information retrieval, or large-scale data systems.
- Strong programming skills in Rust/ C++ (for high performance) and Python
- Solid understanding of algorithms, data structures, and distributed systems.
- Experience with experimental design, prototyping, and translating research into production.
- Excellent analytical, problem-solving, and communication skills.
- Practical experience equivalent or equal to a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.
Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions
Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge*
A competitive health insurance plan covers 100% of the policyholder and 75% for dependents*
12 weeks of paid parental leave in the US*
401k program, 3% match - vested immediately!*
$500 work-from-home stipend to be used up to a year of your start date*
- $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses*
$1,200 per year Health & Wellness Allowance to support your personal goals*
The chance to collaborate with a team at the forefront of AI research
*Certain perks and benefits are limited to full-time employees only
You.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation/Right to Work) We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.
Beware of recruiting scams: You.com will only contact you through official @You.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
You.com San Francisco, California, USA Office
San Francisco, CA, United States, 94104
Similar Jobs
.png){kind=logo}
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
