Top Machine Learning Jobs in Minneapolis, MN

The role involves supporting AI-driven customer experience solutions, optimizing Natural Language Processing models, and leading AI initiatives to improve performance and customer satisfaction metrics.

This role involves analyzing conversational data, optimizing NLP models for customer experience, and leading AI initiatives to solve business challenges.

Design, develop, and deploy machine learning models and algorithms, collaborate with teams to integrate AI solutions, and mentor junior engineers.

The Vice President of AI Solutions Strategy leads AI product design and commercialization, ensuring alignment with market needs and driving business growth through partnerships and performance management.

As VP Partnerships & Alliances at Optum, you will develop and lead strategic partnerships in the health-tech/AI domain, driving collaboration and revenue growth through alliances with technology partners while managing relationships and executing joint initiatives.

Lead and expand the Data Loss Prevention program at Coinbase, collaborating with various teams, advising leadership, and implementing technology to manage data security incidents effectively.

Lead the design and development of AI-powered features and platforms. Guide teams to create innovative solutions, ensure project success, and mentor team members while enhancing client relationships.

Analyze malware and detection tickets to improve detection capabilities. Collaborate with internal teams on threat detection inquiries and perform tasks to manage false positives.

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.

The Program Manager Consultant will oversee digital therapeutic program execution, manage stakeholder relationships, and ensure project delivery aligns with corporate strategy.

Design, lead, and evolve the Channel Integrity Program to manage risks related to bribery, corruption, and fraud, utilizing predictive analytics and compliance strategies.

The Director of Engineering, Data Platform will define Liftoff's data engineering strategy, lead teams in building scalable data infrastructures, and collaborate with R&D and product leaders for high-quality delivery and innovation.

The role involves leading the Risk AI/ML team at Coinbase, managing multiple teams to build scalable ML systems for fraud detection, setting strategic vision, and collaborating with senior leaders across departments.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

The Senior Clinical Informaticist will bridge clinical expertise with data science, collaborating on digital health solutions, overseeing data integrity, and mentoring a team.

Lead complex cross-functional technology projects, ensuring timely delivery through strategic planning, proactive risk management, and effective communication with stakeholders.

The Senior Product Manager will define the strategy for auto loan collections and recoveries, develop customer-facing tools, track success metrics, and make data-driven product decisions to optimize business outcomes.

Lead Circle's global fraud risk management program, overseeing analytics, compliance with regulations, and investigations into fraud. Collaborate with stakeholders to assess and mitigate fraud risks.

The Principal Product Manager - AI will lead strategy, execution, and launch of AI features, collaborating across teams to enhance product offerings and customer value in the SaaS space.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

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.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

Lead and develop a team of backend engineers, ensure high standards for core pricing systems, and guide technical strategy while collaborating across teams.

The role involves managing the product lifecycle of Salesforce functionalities, coordinating with teams, integrating AI, and ensuring product innovation based on stakeholder feedback.

The Principal Product Manager, AI will drive strategy and execution for AI capabilities across product lines, focusing on innovation, cross-team collaboration, and success metrics for AI solutions in clinical trials.