Senior Applied Scientist (NLP)

Coveo (Headquarters: Montreal, QC & Quebec City, QC)

NLP Machine Learning AI Deep Learning LLM Python Semantic Search Query Understanding Generative Answering Personalized Query Suggestions Multimodal AI Recommender Systems Ranking Optimization Information Retrieval Neural Search Information Extraction AI Engineer Data Science

Company: Coveo is a Quebec-based company, pioneer in AI-powered search and recommendations. Coveo uses AI technologies and intelligent search to personalize every digital experience for customers, partners, dealers, and employees. Coveo combines unified content, unified interactions behavioral data and machine learning to deliver relevant information and recommendations across every business interaction, making websites, e-commerce, contact centers and intranets efficient, effortless, content-rich, thus boosting conversion. At Coveo, we build AI-powered systems that bring hyper-personalization to every enterprise experience — whether it's e-commerce, customer service, or internal workplace tools. Our platform unifies relevance across the stack, helping users find what they need, when they need it. We offer competitive salaries, top-tier equipment, great offices, and a team that genuinely values your input.

About the Role: Play a leading role in building the future of Coveo for Commerce! As a Senior Applied Scientist on the Commerce AI team at Coveo, you will be tasked with building the language technology solutions and other machine learning technologies that power the future of our Search and Personalization products for shoppers and merchandisers. You’ll play a technical leadership role to help influence and guide our ambitious AI technological vision of bringing cutting-edge advancements into production to a wide range of enterprise commerce clients by collaborating closely with other Applied Scientists, ML Developers, and Product Managers to leverage LLMs and other state-of-the-art Generative AI techniques.

Responsibilities:
- Lead the design, development and optimization of existing and new ML solutions in Commerce including Semantic Search and Query Understanding, Generative Answering and Personalized Query Suggestions.
- Develop novel approaches to extract, generate, and validate product attributes using multimodal AI, combining text, image and structured data.
- Initiate and facilitate the adoption and utilization of resources and guidelines to improve quality and operational efficiency of the scientific ML lifecycle.
- Work with Product Managers to define scope, determine feasibility, and translate business objectives into technical requirements.
- Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions, continuing to foster our culture of Applied Science excellence.
- Be a mentor to your teammates: Help them hone their skills and support their development as applied scientists.

Qualifications/Technical Skills:
- 5+ years of applied research industry experience building and improving real-world solutions based on modern ML and NLP techniques, including Deep Learning and LLMs, at a non-trivial scale.
- PhD or MSc in a relevant discipline (ML, CS, Math, Physics).
- Proven ability to explore and design models, systems and solutions and implement them via production-grade code that is systematically evaluated, well-tested and easy to maintain.

Who You Are/Ideal Candidate:
- Experience working in cross-functional teams, collaborating with other scientists and developers on a daily basis throughout the development lifecycle.
- Experience in a leadership role: Mentoring and coaching, hiring, vision and roadmap design, scientific project planning and management, etc.
- Deep expertise in a particularly relevant areas to Coveo business: Ranking and Recommendations, Information Retrieval and Neural Search (including Semantic Search and Question-Answering) and Information Extraction.
- Experience in experimentation and measurement of product user engagement and business impact preferably in a transactional domain i.e. Ecommerce.
- International Work Experience: You lived through the challenges of cultural differences and it rewarded you with a more open-minded approach to communication and collaboration.