Search Engine Relevance Engineer (#4723) Job Title: Search Engine Relevance Engineer (#4723)
Field: IT
Job Description: Alteo is looking for a Search Engine Relevance Engineer for a permanent position based in Montreal.
Reporting to the CTO, you will be responsible for developing our search engine to better meet the needs of our users, particularly by integrating technologies based on statistical analysis of our corpus and its citation graph, learning to rank, neural search, and analysis of results using large language models (LLMs). You will work with our legal industry experts to set up human validation processes and with our IT team to develop and deploy search engine functionalities.
Responsibilities:
Contribute to the design of new functionalities in the search engine and integrate them into our products, either directly with code or indirectly through user needs analysis.
Design and develop relevance algorithms using machine learning and statistical modeling algorithms.
Develop and revise Java and Python code required for the creation of new functionalities.
Design experiments and optimize search engine parameterization using relevance assessments by legal industry experts, advanced analytics, and A/B testing.
Optimize the search engine to minimize response time and support high workloads.
Keep abreast of the latest developments in search engine technology and emerging technologies.
Coordinate all these activities between the various stakeholders: developers, industry specialists, and external consultants.
Profile:
Bachelor's/Master's degree in mathematics, statistics, or a similar industry related to statistical data analysis or information theory.
2+ years' experience in the information retrieval and/or natural language processing industry.
Experience in software engineering and in building and managing complex applications.
Experience in machine learning.
Experience in software development, especially in the creation of performance-sensitive systems.
Experience with modern language models: transformers, embeddings, etc. (asset).
Experience with Solr or Lucene-based search platforms (asset).
Knowledge of Java virtual machines and their performance constraints (asset).
Team player, respectful, open-minded.
Curious and structured scientific approach, based on experimentation and information gathering.
Sense of quality through the creation of unit tests and measurement of results.
Ability to take responsibility for the product, manage deadlines, and prioritize user experience.
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