Golden is looking for a pragmatic, hungry and devastatingly curious hacker to join its mission in constructing the largest knowledge graph in history and building a foundational data layer for AI systems of the future. The company is venture backed by tier A investors and led up by serial entrepreneur Jude Gomila (founder of Heyzap acquired for $45m 2016 / YC '09 and investor in 100+ startups).

Golden is at the forefront of AI-driven knowledge discovery. We specialize in developing advanced AI solutions that empower individuals and organizations to uncover valuable insights from vast amounts of structured data.

Among other areas, the work you do will touch upon machine learning, NLP, data science, statistics, data structures and algorithms. We are building a system that spans many specializations within NLP: named-entity recognition and relation extraction; topic modeling and document clustering; textual entailment and question-answering; and detecting complexity, subjectivity, and vandalism. At the same time, work will also relate to the real world in making a product that people use and love.

You would be working in a startup environment with high autonomy and a rapid development pace.

Responsibilities

• Build new features such as natural language search and web-scale data mining using Generative AI and other Machine Learning techniques.
• Develop, test, and deploy AI models for natural language understanding and information extraction.
• Analyze data quality and completeness gaps, propose experiments to close them, and quickly iterate to ship high quality data to bring value to our users.
• Build and improve distributed data ingestion and data transformation infrastructure.
• Work with Golden’s partners to prototype and ship new and innovative applications leveraging out data.

Requirements

• 5+ years of software engineering experience, shipping real-world products to end-users.
• Solid understanding of AI fundamentals and Machine Learning theory.
• Practical experience building with Large Language Models or other advanced Machine Learning models, in particular in areas related to Natural Language Processing, Information Extraction, and Knowledge Representation.
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions.