Senior Applied ML/AI Scientist - Search

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.

Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement.

If you believe in community, come join ours.

About The Role

As a Senior Applied AI/ML Scientist on the Search Group, you’ll drive the technical vision, ML algorithm strategy, and system design powering one of the most critical levers for customer value and company growth—Search (think about what you do when you land on any e-commerce site). You’ll lead the advancement of real-time Search and Recommendation systems behind our next-generation shopping experiences. You’ll operate at the forefront of algorithms—combining large language models, natural language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products/brands for any given query from the users.

This is a rare opportunity to own end-to-end personalization in a high-scale, deeply multi-modal environment—while mentoring a team of talented scientists and engineers.

What You’Ll Do

Own the next-generation Search engine , integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized product feeds with 100ms latency. Design and productionize natural language search and discovery systems , enabling intelligent agents to generate relevant and personalized collections, explain search results, and assist retailers in browsing, filtering, and evaluation. Lead model development and GPU-based deployment efforts , leveraging frameworks like Triton to scale inference reliably and efficiently.

Mentor and grow senior Applied Scientists and MLEs , and establish best practices around model development, agent workflow evaluation, and MLOps. You’re a Great Fit If You Have… 5+ years of experience building large-scale ML systems, including 3+ years in search, recommendation, or ads ranking. g.

g. Faiss, ScaNN, Pinecone). g.

BERT, GPT-class) with structured features to drive personalization. A product-focused mindset and a bias toward execution—you move quickly from paper to prototype to production. Strong Python skills, deep respect for system reliability and ownership, and experience operating in high-stakes environments.

Excellent communication and cross-functional influence—you raise the technical bar beyond your immediate team. Bonus Points For… Contributions to open-source ML libraries or peer-reviewed publications in ML/AI. MS or PhD in Computer Science, Statistics, or a related STEM field.

Strong practices around model development, agent workflow evaluation, and MLOps. Salary Range Canada: the pay range for this role is $171,000 to $235,500 per year.

Benefits

Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location.

Base Pay Range

provided is subject to change and may be modified in the future. Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.