TL;DR

Senior II Applied Scientist (NLP): Designing, evaluating, and deploying advanced language technologies for a generative artificial intelligence platform with an accent on retrieval augmented generation pipelines, information retrieval, semantic search, and agentic systems. Focus on applying and serving transformer-based language models at scale and influencing the NLP vision.

Location: Remote (Global). While the company has offices in Montreal, Quebec City, London, and Weert, full remote work is available globally. Travel may be required for in-person team-building events.

Company

%hirify_global% is a Quebec-based pioneer in AI-powered search and recommendations, leveraging AI and intelligent search to personalize digital experiences for users and customers.

What you will do

Design, develop, and optimize modern language-based artificial intelligence solutions, considering data, modeling, evaluation, and production constraints.
Apply and serve transformer-based language models at scale to deliver real-time enterprise experiences.
Collaborate with machine learning developers and the platform team to accelerate research and innovation.
Act as a technical reference, guiding architectural decisions and promoting best practices.
Mentor applied scientists and contribute to research and development processes.

Requirements

PhD, or a Master’s degree with equivalent research experience, in machine learning, computer science, mathematics, or physics.
At least 8 years of industry experience applying modern natural language processing techniques, including deep learning and large language models, to real-world systems at scale.
Strong experience designing models and systems that balance performance, user experience, and production realities.
Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation.
English: B2+ required.

Nice to have

Experience in a technical leadership capacity (mentoring, hiring, roadmap definition, project planning).
Research or applied experience in information retrieval, neural search, semantic search, or question answering.
Exposure to traditional lexical or linguistics-based natural language processing techniques.
International work experience and ability to collaborate across cultures.

Culture & Benefits

Opportunity to shape the future of enterprise AI technology.
Work in a collaborative, diverse, and trusting environment.
Continuous opportunities for learning and development of cutting-edge skills.
Flexible work modes: in-person, hybrid, or remote globally.
Access to modern infrastructures in office locations designed to enhance collaboration and well-being.