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Senior Autonomous Data Systems Engineer
Streamline CAPEX procurement by using AI to match technical specifications with industrial equipment from over 32,000 verified global manufacturing suppliers.
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
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Senior Software Engineer, AI Infra
Transform reactive video monitoring into proactive prevention using AI-powered vision intelligence that detects threats and reduces false alarms in real time.
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
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