Top Machine Learning Jobs in Minneapolis, MN

The manager will lead the design and delivery of Generative AI and Machine Learning solutions, mentor staff, and manage project lifecycle while ensuring client engagement and quality standards.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

The Senior Director, Applied AI & Data Science leads AI-driven transformations in healthcare, managing strategies for software delivery and integration, while collaborating with business leaders for impactful AI use cases.

The role involves creating growth strategies for DRG and bundled payments, improving savings, collaborating with teams, and overseeing concept development.

The Director of Automations and Efficiencies leads automation initiatives to enhance operational effectiveness, oversees automation projects, and collaborates with stakeholders to optimize healthcare processes.

Lead the design and deployment of machine learning solutions to address healthcare challenges, mentor data scientists, and ensure model compliance and interpretability.

The Senior AI & Data Scientist leads AI model development, data preparation, analysis, and deployment to enhance decision-making in the supply chain.

The Lead AI/ML Engineer will design and implement advanced AI solutions, lead engineering teams, and ensure high-quality AI systems that meet healthcare challenges. Responsibilities include collaboration with stakeholders, driving architecture decisions, and mentoring engineers.

The Chief Technology Officer for Optum Insight Provider Market leads technology vision and strategy, manages a large team, and drives innovative solutions using advanced technologies in healthcare.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

The Director of Product Management for ML Platform will own the product strategy and execution, mentor PMs, and collaborate with ML teams to enhance infrastructure and manage costs.

The Senior Technical Program Manager will oversee the delivery of complex projects related to Application Modernization, working closely with multidisciplinary teams, driving programs forward, and balancing product goals with engineering constraints.

As a Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

As Principal Product Manager, you will define the strategy for Upstart's pricing platform, enhancing its scalability and reliability while collaborating across teams to innovate pricing capabilities for loan products.

As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

The Engineering Manager for Forecasting and Scheduling will lead a team in developing algorithms and user interfaces to optimize workforce management, combining technical direction with product decisions while collaborating with various teams.