Top Machine Learning Jobs in Minneapolis, MN

Lead strategic execution of the Voice AI Foundations research program. Manage research initiatives, build infrastructure, and optimize workflows while ensuring alignment with company goals.

This role leads data-driven decision-making through developing machine learning algorithms, project management, mentoring data scientists, and improving business outcomes using advanced analytics.

The AI Product Manager will lead AI initiatives, drive technology adoption, build business cases, and coordinate with teams to enhance efficiency across various business functions.

As a Lead Data Scientist at Brigit, you will build and maintain models to identify credit risk, optimize marketing spend, and reduce churn. You’ll work closely with product and engineering teams and handle the full modeling lifecycle, analyzing data to derive insights that support the company's mission of enhancing financial wellness for customers.

The Managing Consulting Engineer leads AI infrastructure projects, providing technical guidance, client relations, and managing project teams to ensure successful solution delivery.

Lead product management efforts at Capital One, focusing on innovative solutions and leveraging technology to drive business transformation and customer solutions.

As a Principal Software Engineer, you'll define technical roadmaps, guide system architecture, mentor leaders, and identify impactful opportunities in Capital Supply operations.

Lead a team of data scientists to drive data analysis strategy for marketing and growth, ensuring quality and actionable insights.

As a Senior Machine Learning Engineer, you will develop ML solutions for clinical research, collaborating cross-functionally to improve cancer care. Responsibilities include applying AI tools, optimizing language model strategies, and working with quantitative scientists and software engineers.

The Solutions Engineer drives AI solution adoption, collaborating with sales teams to create demos and provide technical support for clients, ensuring effective implementation and long-term success.

Lead the data science team, integrate machine learning, ensure high-quality project delivery, and foster collaboration across departments to maximize data impact.

The role involves creating RF sensing solutions using machine learning to identify and characterize RF signals, mentoring engineers, and collaborating with cross-functional teams.

The role involves enhancing a 3D dental platform using computer vision and machine learning, guiding teams, and implementing rendering strategies.

Lead Data Analyst will create high-value analytics for customers, establish expertise in analytics platforms, and identify improvement opportunities.

The Group Data Science Strategist will lead product vision and execution related to cybersecurity threats and generative AI, managing assessment requirements and roadmaps while prioritizing strategic outcomes.

The Senior Data Scientist in Finance will enhance financial analyses, develop forecasting models with ML and Python, and collaborate with various stakeholders to improve forecasts and reporting.

Lead a team to assess threat coverage, provide strategic recommendations, and improve cybersecurity defenses against adversaries. Collaborate cross-functionally to enhance protection strategies.