Top Machine Learning Jobs in Madison, WI

As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

The Senior Vice President of Underwriting will oversee underwriting outcomes across multiple lines, driving growth and improving loss ratios through data-driven strategies and leadership.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Product Marketing Manager will develop go-to-market strategies, create compelling messaging, perform market research, and collaborate with product and sales teams to position Oscilar's AI risk platform effectively.

The AI Executive Partner will advise C-Suite executives on leveraging AI to drive business outcomes, manage member relationships, and deliver innovative AI solutions.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

Manage a portfolio of customers as primary contact, drive adoption and retention, respond to support requests, troubleshoot issues with product teams, identify upsell and renewal opportunities, and provide customer insights to product and engineering.

The Staff Technical Program Manager will manage robotics projects, oversee cross-functional teams, ensure timely delivery, and maintain effective communication across stakeholders.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

The Senior Display Media Account Manager develops and executes digital media strategies, focusing primarily on Amazon DSP, while fostering client relationships, providing analytics, and driving business growth for clients.

The Senior Machine Learning Engineer will develop core ML models, manage data pipelines, and collaborate with stakeholders to deliver scalable ML solutions.

The Simulation Engineer will work on AI solutions for CAE workflows, integrate AI technologies, engage with customers, and enhance AI software products.

The Senior Vice President, Data Science & Analytics will lead analytics and data science functions, drive innovation, implement AI, and oversee data strategies across financial services.

Lead the development of outfit completion models by combining client preferences and machine learning to improve personalized recommendations at Stitch Fix.

The Principal Solution Consultant serves as an expert in CLM software, aligning solutions with customer outcomes, leading POCs, and leveraging AI tools in presales strategies.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Interns will prototype rapidly, iterate, and contribute to open-source projects at the intersection of AI and cryptography.

As a Machine Learning Engineer, you'll create and optimize production-ready ML solutions, manage the ML lifecycle, and conduct experiments.

Oversee AI application development, ensuring high standards in engineering, system design, and cross-functional integration, while mentoring engineers and leading technical innovation.

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