2 months ago
Base Salary
$211k - $291k/yr
Responsibilities
- Build next-generation personalized search-ranking algorithms using deep learning and machine learning.
- Use LLMs to extract multimodal text and visual signals for user and intent profiling.
- Partner with cross-functional teams to experiment on and improve search-ranking and related ML models.
- Design and productionize natural-language search and discovery systems, including intelligent agents that generate personalized collections, explain results, and assist with browsing, filtering, and evaluation.
- Share best practices for deep-learning development, agent-workflow evaluation, and MLOps while mentoring teammates through code reviews and technical guidance.
Requirements
- At least 5 years of industry experience building large-scale ML models, shipping production ML solutions, and delivering business impact.
- At least 3 years of experience in search, recommendation, or advertising ranking.
- Master’s or PhD in Computer Science, Statistics, or a related STEM field.
- Strong programming skills in Python, Java, or equivalent, with hands-on experience using deep-learning libraries such as PyTorch and big-data technologies such as Spark.
- Deep understanding of ML training and serving, imbalanced data, A/B testing, feature engineering, feature and model selection, user modeling, deep learning, and reinforcement learning.
- Strong applications experience in search, recommendation, and advertising domains.
- Excellent written and verbal communication skills, cross-functional influence, and a product-focused execution mindset.
- Preferred experience includes open-source ML contributions or peer-reviewed ML/AI publications, LLM-based search applications, e-commerce or marketplace search and recommendation systems, AI coding tools such as Cursor, Claude Code, or Codex, and familiarity with Kotlin.
Benefits
- Hybrid work with three office days per week on Tuesdays, Thursdays, and one flex day on Monday, Wednesday, or Friday.
- Hybrid employees may work remotely for up to four weeks per year.
- Equity and comprehensive benefits are provided.
- Access to enterprise AI tools and a collaborative, growth-oriented workplace.
Tech Stack
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.