Senior Applied Scientist
Montreal (Province of Quebec, Canada)
Play a leading role in building the future of Coveo for Commerce!
As a Senior Applied Scientist at Coveo, you will be tasked with building the product recommendations 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 the latest advances in the domain to a wide range of enterprise commerce clients.
Here is what makes this opportunity exciting:
The ML unit at Coveo focuses on researching applications of the latest advances in Recommender Systems, Ranking Optimization, LLMs and NLP to build innovative solutions in e-commerce, self-service and other business verticals.
We solve real problems with real data, for hundreds of large enterprise clients all around the world, on a modern platform that serves over 100M requests and automatically trains thousands of ML models on a daily basis.
Here is a glimpse at your responsibilities:
- Lead the design, development and optimization of existing and new ML solutions in Commerce including Product Recommendations, Generative Answering and Personalized Suggestions
- Develop novel approaches to extract, generate, and validate product attributes using multimodal AI, combining text, image, and structured data analysis
- 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
Here is what will qualify you for the role:
- 7+ years of applied research industry experience building and improving real-world solutions based on modern ML techniques, including Deep Learning and Large Language Models, 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 taking into account real-world constraints and user experience, 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
Here is what will make you stand out:
- Experience in a technical leadership role: Mentoring and coaching, hiring, vision and roadmap design, scientific project planning and management, etc.
- Experience in experimentation and measurement of product user engagement and business impact preferably in a transactional domain i.e. commerce
- Work and Research experience (including Publications) into particularly relevant areas to Coveo business: Ranking and Recommendations, Information Retrieval and Neural Search (including Semantic Search and Question-Answering) and Information Extraction.
- 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.
Do you think you can bring this role to life?
You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.
Send us your CV, we want to get to know you!
Join the Coveolife!
We encourage all qualified candidacies 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.
#li-hybrid #li-remote
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data analysis Deep Learning E-commerce LLMs Machine Learning Mathematics ML models NLP PhD Physics Recommender systems Research
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