Top Senior Machine Learning Jobs in Minneapolis, MN

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

The role involves establishing AI governance frameworks, assessing AI maturity, advising senior leadership on AI initiatives, and ensuring compliance with regulations.

Lead the design and delivery of AI solutions, guiding architecture decisions across data platforms and machine learning systems. Collaborate with technical teams and influence decisions while ensuring solutions meet regulatory requirements.

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 AI/ML Engineer will architect solutions leveraging NLP and ML, manage cloud deployments, and enhance workflows for efficiency.

This role leads advanced forecasting analytics, driving strategic decision-making through predictive models and data insights while managing a senior data science team.

Lead design, development, deployment, and maintenance of AI/ML solutions (including LLMs and Generative AI) for healthcare. Drive adoption of responsible AI, build conversational/chatbot systems, integrate AI into cloud services, ensure production reliability, mentor engineers, and align solutions with enterprise AI strategy and product goals.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

As a Manager of Cloud Software Engineering at Coupa, you will lead AI platform DevOps, manage global teams, and oversee agile delivery while ensuring technical quality and innovation.

The Optum Rx AI Capability Lead is responsible for aligning AI initiatives with business goals in healthcare, leading innovation, and ensuring ethical AI use.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead the In-Vehicle Experience team at Samsara, focusing on transforming in-cab cameras into intelligent companions. Collaborate with engineering, prioritize features, and ensure client interactions highlight trust and connection. Conduct customer research and integrate AI and ML into product features.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

Develop AI strategies and innovative ML solutions for healthcare; design, implement, and deploy advanced models; collaborate across teams and publish research.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.

Lead the AI ecosystem partnership strategy, managing vendor relationships, overseeing RFI/RFP processes, and ensuring compliance while maximizing value and sustainability in AI initiatives.

Provide technical pre-sales support for SailPoint, managing proof-of-concept processes, architecting solutions, and developing custom code for identity management.

As Principal Product Manager for the Agentic Platform, you will set the vision and strategy for AI infrastructure, drive product development, and facilitate adoption across teams.

Lead engineering teams to design and implement core voice AI APIs. Responsible for team management, project planning, technical strategy, and collaboration with research and product teams.