Any Office or RemoteUSAgreenhouse2026-10-30
Why this is a real AI job: The role is explicitly focused on building and operating the production ML lifecycle, including model deployment, observability, and retraining. The description heavily emphasizes ML engineering and MLOps practices.
Mercury's use of machine learning in risk decisioning is growing fast in scope and in stakes. Models increasingly drive real-time decisions about fraud and financial crime, and the Machine Learning Platform (MLP) team exists to build a paved path from a trained model to a reliable production deploy…
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Remote CanadaUSAgreenhouse2026-10-30
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models for fraud prediction, requiring extensive experience in ML techniques, data processing, and model lifecycle management. The job description heavily emphasizes core AI/ML tasks.
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, prote…
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Affirm · Remote Canada, Remote US
95/100
Remote Canada, Remote USUSAgreenhouse2026-10-30
Why this is a real AI job: The role explicitly focuses on building and improving machine learning systems for core business functions (underwriting). The job description details tasks directly related to model development, data processing, deployment, monitoring, and experimentation. S…
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay la…
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Remote PolandUSAgreenhouse2026-10-30
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models for credit lending decisions, requiring deep expertise in ML techniques and model lifecycle management. The description emphasizes technical leadership in ML and a strong focus on p…
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are looking for a Staff Machine Learning Engineer to be the technical leader building high-quality production-grade m…
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Vercel · Office - New York City, Office - San Francisco
95/100
Office - New York City, Office - San FranciscoUSAgreenhouse2026-10-30
Why this is a real AI job: The role explicitly focuses on building and operating ML systems for abuse detection, including LLMs, training pipelines, and serving infrastructure. The job description clearly indicates a strong emphasis on ML engineering and productionizing ML models.
About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people…
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San Francisco HQUSAFullTimeashby2026-10-30
Why this is a real AI job: The role is explicitly focused on building and leading the technical strategy for foundation models, covering the entire ML lifecycle from data curation to production serving. The job description heavily emphasizes AI/ML expertise and its application to Plaid…
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…
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Plaid · New York City Office
95/100
New York City OfficeUSAFullTimeashby2026-10-30
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning-powered products, identifying ML opportunities, and working with ML models in a production environment. The description heavily emphasizes ML tasks and responsibilities.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…
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Plaid · New York City Office
95/100
New York City OfficeUSAFullTimeashby2026-10-30
Why this is a real AI job: The role explicitly focuses on building and scaling machine learning systems for fraud detection, owning the full ML lifecycle. The responsibilities and qualifications heavily emphasize ML engineering skills and experience.
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…
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San Francisco HQUSAFullTimeashby2026-10-30
Why this is a real AI job: The role is explicitly focused on building and deploying machine learning systems for fraud detection, covering the entire ML lifecycle. The description heavily emphasizes ML techniques, model development, and data science principles. Exploration of LLMs for…
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…
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ChicagoGermanygreenhouse2026-10-30
Why this is a real AI job: The role is explicitly focused on leading a team developing and owning the machine learning behind Adyen's core product - a real-time decision engine for checkout optimization and AI product suite. The description emphasizes ML model development, data enginee…
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opp…
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