* We appreciate the fact that you're expressing your interest to join our team. Please note that we will only get back to you when a role opens officially in the team and the job description might slightly differ. That can take from several weeks to several months. By applying on this role, you give your permission to be considered in this future recruitment process for this position.
If you are a search expert, come join us!
We are seeking an expert in the development of search solutions to join our team.
In this role, you will play a critical role in enhancing our search capabilities and revolutionizing the way our users access information. Your expertise in best programming practices and modern information retrieval concepts will be essential in delivering an exceptional search experience. Additionally, your hands-on experience with search and vector database technologies will facilitate the conception and optimization of robust and efficient solutions.
Here are the key responsibilities you will face in this role:
- Developing and optimizing search algorithms.
- Evaluating and improving search performance.
- Staying up-to-date with the latest advancements in search technologies and information retrieval methods. Continuously explore new approaches to improve search quality and speed.
- Collaborating with cross-functional teams: Work closely with engineering, data science, and product teams to understand business requirements and incorporate feedback into the development process.
- Troubleshooting and issue resolution: Diagnose and resolve issues related to search performance, relevance, and latency in a timely manner, ensuring a seamless user experience.
- Documentation and knowledge sharing: Share knowledge and mentor team members to enhance the overall technical expertise within the organization.
Here is what will qualify you for the role:
- Proven industry work experience as an expert in the development and delivery of search solutions, with a strong track record of writing quality code.
- Ability to review relevant scientific articles and apply their findings to real-life problems
- In-depth knowledge of modern information retrieval concepts, including Learning to Rank, Hybrid Search, and the application of word2vec and other word embedding techniques.
- Hands-on experience with building, implementing and optimizing search and vector database technologies such as Elastic, Vespa, Pinecone, Lucene, etc.
What would make you stand out:
- Proficiency in programming languages such as Java, or C++, and experience working with relevant libraries and frameworks for search and machine learning.
- Strong analytical skills with the ability to interpret data, perform statistical analysis, and use data-driven insights to optimize search performance.
- Demonstrated capacity to identify complex search-related issues and devise effective solutions in a fast-paced environment.
Do you think you can bring this role to life?
You don’t need to check every single box; passion and ambition go a long way and we appreciate that skillsets are transferable.
Send us your application, we want to get to know you!
Join the #Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. We know that applying for a new role is a lot of work and we really appreciate your time.
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What We Do
Coveo powers the digital experiences of the world’s most innovative brands serving millions of people and billions of interactions across every digital experience. After a decade of enriching our market-leading platform with forward-thinking global enterprises, we know what it takes to gain a trusted AI-experience advantage.
We strongly believe that the future is business-to-person, that experience is today’s competitive front line, a make or break for every business.
For enterprises to achieve this AI-experience advantage at scale, it is imperative to have an Enterprise Spinal and composable ability to deliver AI semantic search and generative experiences at each customer and employee interaction.