Software Engineer, Search Quality and Ranking

• Build and maintain core search APIs
• Build new ranking models that bring meaningful quality improvements while keeping latency low
• Build out core ML infra (using Anyscale / Dynamo)
• Improve ranking across all sorts of different recall sources, like Elasticsearch and vector databases

• Experience in a technically challenging domain (latency sensitive systems
• recommender systems
• etc)
• Energized by learning new technologies
• Holistic problem solver with clear understanding of context
• Communicate nuanced ideas clearly
• Impact driven and prioritize projects accordingly
• Curious and willing to adopt AI tools

• 3+ years of experience in machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence
• Experience building products using LLMs, embeddings or other ML natural language technologies
• Understanding how parts of a system fit together
• Familiar with relational database systems like Postgres or MySQL
• Experience building products from ground up
• Elasticsearch experience in knowledge-search domains
• Proficient with data pipeline technologies: Spark, DBT, etc
• Proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres
• Experience driving teams toward shared goals
• Knowledge of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay

Highly competitive cash compensation, equity, and benefits