Tern
11 - 50 employees
đź’Ľ Consulting
📦 Logistics
đź“Ł Marketing
Consulting • Logistics • Marketing
Tern is a company focused on providing flexible cards and accessible fintech tools designed to increase revenue and streamline processes for businesses and enterprises. They offer a variety of embedded banking solutions such as virtual and physical prepaid cards, bank transfers, cross-border transactions, and compliance support. Tern's platform is equipped with low code/no code solutions, APIs, and intelligent data analytics, making it user-friendly and efficient for companies looking to quickly launch financial products. With a goal to democratize fintech services, Tern aims to make these tools available to a broad audience, breaking down barriers and fostering innovation in the financial technology space.
AI, Data Engineer
Job not on LinkedIn
đź•’ June 4
🇺🇸 United States – Remote
đź’µ $145k - $175k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
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Tern
11 - 50 employees
đź’Ľ Consulting
📦 Logistics
đź“Ł Marketing
Consulting • Logistics • Marketing
Tern is a company focused on providing flexible cards and accessible fintech tools designed to increase revenue and streamline processes for businesses and enterprises. They offer a variety of embedded banking solutions such as virtual and physical prepaid cards, bank transfers, cross-border transactions, and compliance support. Tern's platform is equipped with low code/no code solutions, APIs, and intelligent data analytics, making it user-friendly and efficient for companies looking to quickly launch financial products. With a goal to democratize fintech services, Tern aims to make these tools available to a broad audience, breaking down barriers and fostering innovation in the financial technology space.
đź“‹ Description
• Build and ship the systems behind Tern's AI features • Build the evaluation systems that answer whether an AI feature is good enough to ship and good enough to keep • Own data quality as a first-class concern • Build and maintain the ETL systems • Work alongside product squads to build reporting
🎯 Requirements
• Production AI/ML experience • Evals as engineering • Data pipeline and service ownership • High agency • Bonus points for experience with Ruby on Rails, LLM evaluation, and MCP-based tooling
🏖️ Benefits
• Competitive salary • Equity • Benefits package
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