3 months ago
Toronto, CanadaStaff+
Base Salary
$200k - $275k/yr
Responsibilities
- Own the next-generation search engine, integrating LLMs, query understanding, dense vector retrieval, personalization embeddings, multi-stage ranking, and reinforcement learning for sub-100ms personalized product feeds.
- Design and productionize natural-language search and discovery systems, including intelligent agents that generate collections, explain search results, and assist with browsing, filtering, and evaluation.
- Lead model development and GPU-based deployment using frameworks such as Triton.
- Mentor senior Applied Scientists and machine-learning engineers and establish best practices for model development, agent-workflow evaluation, and MLOps.
Requirements
- 7+ years of experience building large-scale machine-learning systems, including 3+ years in search, recommendation, or ads ranking.
- Hands-on experience with deep-learning libraries such as PyTorch and vector-search infrastructure such as Faiss, ScaNN, or Pinecone.
- Experience productionizing models that combine LLMs such as BERT or GPT-class models with structured features for personalization.
- Strong Python skills and experience operating reliable systems in high-stakes environments.
- Excellent communication and cross-functional influence.
- Contributions to open-source ML libraries or peer-reviewed ML/AI publications are preferred.
- An MS or PhD in Computer Science, Statistics, or a related STEM field is preferred.
- Strong model-development, agent-workflow evaluation, and MLOps practices are preferred.
Benefits
- Eligible for equity and comprehensive benefits.
- Hybrid employees work in the office 3 days per week on Tuesdays, Thursdays, and one flex day on Monday, Wednesday, or Friday.
- Hybrid employees may work remotely for up to 4 weeks per year.
- Access to enterprise AI tools and a growth-oriented workplace.
- Equal employment opportunities and reasonable accommodations are provided.
Categories
About Faire
Faire builds a B2B wholesale marketplace that connects independent retailers with consumer brands for product discovery, ordering, and net terms. It monetizes through marketplace commissions and financial services, and provides tools for payments, returns, and analytics to help shops source inventory. Founded in 2017 and headquartered in San Francisco, it operates across North America and Europe and is privately held.