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Faire is a technology wholesale platform connecting independent retailers with global entrepreneurs. We leverage tech, data, and machine learning to empower local businesses. The Applied AI/ML Science team builds and maintains models that power the marketplace, including shipping and delivery estimates. This role focuses on developing models that understand products from images and text to improve predictions and enhance retailer confidence, ultimately helping brands sell more on Faire.

Metriport is revolutionizing US healthcare by solving the critical problem of medical data exchange. We transform unusable raw data from legacy systems into a clean, unified format that care teams and their agents can use to improve patient outcomes. Our technology enables rapid data retrieval, providing clinicians with complete patient histories instantly, which can lead to earlier diagnosis and treatment. We are a technology company building every layer of our platform, from data connection and transformation to generating insights, aiming to become the essential infrastructure for US healthcare. Having secured significant funding and achieved product-market fit with millions in ARR and over 100 customers, we are poised for substantial growth.

$200k - $260k

Plaid is seeking a Senior Machine Learning Engineer to join their Fraud Data team. This role will focus on developing and deploying machine learning systems to enhance Plaid's fraud detection products. You will work across the full data science and machine learning lifecycle, from identifying new signals and experimenting with models to deploying and optimizing them in production. The goal is to continuously learn from real-world performance and customer feedback to protect customers from evolving fraud threats. You will lead projects from initial experiments through model deployment and ongoing improvement, identifying predictive patterns in Plaid's network data.

$229k - $315k