Benefits:

• Full ownership

• Freedom to choose tools and patterns

• Small, focused, AI-augmented team environment

• Opportunity to shape the future of manufacturing data at planetary scale

Experience Requirements:

• 5+ years in software engineering, ideally with standalone service builds

• Experience with building scalable schemas and ingestion

• Strong background in web scraping/data pipelines (ETL, Airflow, similar)

• Demonstrated expertise in using AI tools/workflows to accelerate development responsibly

• A mix of technical depth, curiosity, and the ability to go deep or pivot quickly

Other Requirements:

• Excellent communication, autonomy, and a growth mindset

• Experience in manufacturing tech, marketplaces or hardware sourcing

• Experience with a Next.js, Tailwind and PostgreSQL stack

• Familiarity with web scraping at scale

Responsibilities:

• Lead AI-powered data warehousing of manufacturing equipment information

• Architect a data store to represent (almost) every product and OEM globally

• Build ingestion pipelines from internal and external sources

• Develop internal web UIs for data review & curation

• Expose clean APIs for other services to sync with and build from

Benefits:

• Stock options

• Comprehensive health + welfare package

• Flexible time off

• Winter Break

• Latest tech and awesome swag

Education Requirements:

• BS/MS in Computer Science or related field

Experience Requirements:

• 4+ years of industry experience

• Strong background in machine learning and deep learning

• Proficient in designing and building scalable ML infrastructure

• Expertise in Python

• Experience with data engines for management of training data

Other Requirements:

• Background in computer vision is a strong plus

• Experience with LLMs, LVMs, and RAG into production is a strong plus

Responsibilities:

• Building and maintaining machine-learning infrastructure

• Develop a robust data engine for training data

• Collaborate with research scientists to integrate advancements