Senior Applied Scientist

Summary

Join Coveo's Commerce AI team as a Senior Applied Scientist and play a leading role in developing language technology and machine learning solutions for search and personalization products. You will lead the design, development, and optimization of ML solutions, develop novel approaches to extract product attributes using multimodal AI, and collaborate with cross-functional teams. This role requires 5+ years of applied research experience with a PhD or MSc in a relevant field and proven ability to build and improve real-world ML/NLP solutions. You will mentor teammates and contribute to the overall architecture decisions. The ideal candidate will have leadership experience and deep expertise in ranking, recommendations, and information retrieval. Coveo offers a dynamic environment with opportunities to work on cutting-edge AI technologies and impact a wide range of enterprise commerce clients.

Requirements

• 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, along with a 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
• Experience working in cross-functional teams, collaborating with other scientists and developers on a daily basis throughout the development lifecycle

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

Preferred Qualifications

• 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