Software Engineer - Understanding

Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day.

Join the AI Search Group: Enhancing Core Search Capabilities

The AI Search Group is dedicated to advancing the core search experience by improving both pre-query relevance (Understanding) and post-query relevance (Re-Ranking). We're responsible for key customer-facing features like Query Suggestions, Dynamic Synonym Suggestions, AI Re-Ranking, and Query Categorization. We’re looking for problem solvers with an entrepreneurial mindset—people who focus on outcomes and use data to drive decisions. If you're passionate about optimizing search relevance and applying AI thoughtfully to achieve measurable results for customers, we'd love to hear from you!

The team is composed of engineers, most of whom are fully remote, with different skill sets and backgrounds. Your experience, your knowledge and your perspective will add to this diversity and help the team deliver products that make a difference.

YOU WILL:

• Be a key contributor to the design and development of ranking & understanding features
• Collaborate with a team that includes a variety of roles, ranging from front-end developers to machine learning specialists.
• Be responsible for the quality and soundness of our pipelines

YOU MIGHT BE A FIT IF YOU HAVE:

• Experience designing and operating pipelines in production
• Experience working with large datasets and high traffic
• An interest in solving Ranking challenges
• Experience in building and maintaining API services
• Rigor in high code quality, automated testing, and other engineering best practices
• Experience using one of the major cloud providers (GCP, AWS or Azure)
• Excellent spoken and written English skills

NICE TO HAVE:

• Experience operating AI models in production environments
• Experience in Go or Python
• Experience in Kubernetes
• Sensitivity to data driven decision making, and exploring datasets with SQL
• Sensitivity to end user experience