Top Machine Learning Jobs in Madison, WI

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

Develop core AI features for an AI-native product, including building LLM features, developing benchmarks, and overseeing the full lifecycle of development.

The Technology Director leads technology strategy and delivery across client engagements, directly contributing to technical solutions, architecture, and hands-on production work while mentoring teams and representing technology in client partnerships.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Senior ML Engineer will architect ML infrastructure, deploy models, manage data, ensure MLOps practices, and collaborate on data projects with diverse teams.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

The Enterprise Account Executive will drive the sales of Sift's fraud solutions to Fortune 1000 companies, engaging with key stakeholders and building custom strategies to address fraud challenges through value-based selling and collaboration.

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

As a Staff Product Manager for Ads Optimization, you will define strategies for campaign performance, collaborate with engineering and data teams, and present insights to leadership, focusing on optimization and automation.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

The role involves drafting and prosecuting U.S. and international patent applications, specifically within sectors like AI, telecommunications, and semiconductors.

The Data Scientist will analyze data to derive insights, develop personalized client interactions, and create scalable AI solutions while ensuring adherence to regulatory standards.

Design and deploy ML solutions for clinical data, collaborating with cross-functional teams to translate healthcare challenges into scalable systems. Maintain reusable codebases and provide guidance to junior engineers.

This role involves designing, building, and deploying AI systems, especially focused on machine learning and large language models, to solve business problems with a structured evaluation strategy.

The Director of Product, Payor Solutions drives product strategy for CopilotIQ, focusing on developing AI-powered solutions for health payors to enhance care models and patient engagement.

The Sr. Director of Revenue Enablement drives strategic sales transformation, develops enablement programs, integrates AI tools, and leads a team to improve sales outcomes.

The Technical Program Manager will lead the Trade and Risk Platform evolution by optimizing customer experience, managing vendor tools, and improving risk workflows.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

Coaches will prepare students for AI and ML roles through resume reviews, interview prep, and guidance on projects, leveraging their industry experience.

The Director of Engineering will lead and scale Buzz Solutions' engineering organization, focusing on AI, infrastructure, and platform systems while ensuring best practices and high-quality solutions.