Senior Search Engine Backend Engineer

Senior Search Engine Backend Engineer

We are looking for a talented and experienced Senior Search Engine Engineer to join our core technology team. You will be responsible for the design, development, and optimization of our core product search system, driving improvements to user experience through advanced search technologies and data insights.

Want to see the platform you'd be representing?

Check out this short overview:

This is an in-office position based in our Singapore office.

Who are we?

Patsnap is a global, pre-IPO company that transforms the way organizations harness their Intellectual Property and Research & Development productivity. Our platform revolutionizes how IP and R&D teams collaborate across the entire innovation lifecycle, using domain-specific AI to accelerate the creation of market-ready products. With over 12,000 customers worldwide, including some of the biggest names in innovation, Patsnap is at the forefront of technological advancement. Our $300M Series E funding round brings our valuation to a $1 billion unicorn status, and we still have a remarkable amount of growth ahead.

We have a vibrant and diverse team with offices in Singapore, Toronto, London, Shanghai and remote teams based in US. Our hyper-growth trajectory is powered by our people, and we are extremely proud of our company-wide vision, work ethic, and entrepreneurial spirit. We are committed to fostering an inclusive environment where talent thrives and ideas bloom.

What You'll Be Doing:

• Be responsible for the development and optimization of the company's core product search system.

• Optimize and enhance the search evaluation platform; propose and implement strategies for improving search effectiveness.

• Design and develop systems for mining search logs and analyzing user behavior to uncover actionable insights.

• Proficient in programming languages such as Java and Python.

• Solid understanding of search engine technologies, including tokenization, indexing, weighting, scoring algorithms, and ranking algorithms.

• Deep familiarity with the architecture of open-source search engines such as Lucene, Sol, and Elasticsearch, with proven experience in secondary development.

• Hands-on experience in search relevance algorithms, ranking algorithms, and personalized search techniques.

• Background in information retrieval, natural language processing, or data mining is highly preferred.

• Strong analytical and problem-solving skills, with a passion for continuous learning and technical excellence