3 months ago
Base Salary
$231k - $318k/yr
Responsibilities
- Own the next-generation Search engine, integrating LLMs, query understanding, dense vector retrieval, personalization embeddings, multi-stage ranking, and reinforcement learning for personalized feeds under 100ms latency.
- Design and productionize natural-language search and discovery systems, including intelligent agents for personalized collections, result explanations, browsing, filtering, and evaluation.
- Lead model development and GPU-based deployment efforts using frameworks such as Triton.
- Mentor and grow senior Applied Scientists and machine-learning engineers.
- 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.
- Open-source ML library contributions or peer-reviewed ML/AI publications are advantageous.
- An MS or PhD in Computer Science, Statistics, or a related STEM field is advantageous.
- Strong practices around model development, agent workflow evaluation, and MLOps are advantageous.
Benefits
- Hybrid schedule with in-office work 3 days per week on Tuesdays, Thursdays, and one flex day on Monday, Wednesday, or Friday.
- Hybrid employees may work remotely up to 4 weeks per year.
- Eligible for equity and comprehensive benefits.
- Access to enterprise AI tools and opportunities for professional growth.
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.