
1001 - 5000 employees
Founded 1956
💸 Finance
🤖 Artificial Intelligence
☁️ SaaS
Finance • Artificial Intelligence • SaaS
FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.
🔥 14 hours ago
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1001 - 5000 employees
Founded 1956
💸 Finance
🤖 Artificial Intelligence
☁️ SaaS
Finance • Artificial Intelligence • SaaS
FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.
• Design and build production AI systems • Translate product requirements into technical designs • Develop robust evaluation frameworks and benchmarks • Drive end-to-end delivery of AI features • Build and operate the application layer around foundation models • Optimize inference performance and throughput
• 12+ years Software engineering experience • Hands-on experience designing and deploying LLM-based features in production • Strong coding skills in Python and/or TypeScript • Solid working knowledge of how foundation models behave in practice • In-depth knowledge of architectural patterns of production LLM systems • Experience with embeddings and information retrieval • Experience building offline and online evaluation pipelines for AI systems • Strong problem-solving and communication skills • Masters degree/Phd in Computer Science or related technical field
• Highly competitive compensation • Health insurance • 401(k) matching • Professional development opportunities • Flexible work arrangements • Paid time off
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