Top Machine Learning Jobs in Minneapolis, MN

The CX Outbound Solution Engineer designs and deploys outbound contact center solutions, focusing on operational efficiency and customer engagement. They work with sales to align solutions with customer needs and lead pilot implementations with a strong grasp of outbound regulations and technologies.

AI Writing Evaluators will create prompts and evaluate AI-generated writing for accuracy and clarity, requiring expertise in business operations or education.

As the Full Stack Support Engineer, you will lead technical support for customers, handle complex technical issues, and collaborate on product feedback and process improvements.

The AI Sales Executive drives new business, expanding client relationships through consultative sales of AI-driven solutions in engineering and manufacturing sectors, managing the full sales cycle and achieving revenue targets.

The Senior Product Marketing Manager at Geotab leads storytelling and strategy for Altitude, coordinating marketing efforts, launching products, and driving growth through insights and enabling sales teams.

The Principal Product Manager will lead the vision, strategy, and execution of AI-powered products that solve go-to-market jobs for small businesses, focusing on rapid learning and iteration with customer feedback.

Lead research and development of core member metrics at Netflix, focusing on causal inference and experimentation to improve product decision-making.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

The Director of Software Engineering will lead teams in creating innovative education tech solutions, strategic planning, and optimizing software delivery processes.

The Software Engineering Manager will lead a team in creating tools for Cengage Learning Platforms, focusing on AI innovation, team growth, agile delivery, and collaboration.

The Director of Research Innovation & Enablement will lead AI integration into research, manage researchers, and enhance workflows for insight generation and efficiency.

The Talent Researcher role involves building talent maps in AI, ML, and voice technology, translating hiring signals into research plans, and delivering market intelligence to enhance recruitment processes.

The Business Development Manager leads strategies for growth in telecom accounts, engaging stakeholders to develop AI/ML-driven solutions, and managing partnerships in a fast-paced environment.

The VP Analyst will provide insights to C-level clients on enterprise application services and AI capabilities, conduct research and analysis, and develop thought leadership content while advising clients on strategies and implementations.

The Sr. Solution Engineer collaborates with Sales to advance enterprise opportunities, conducting demos, workshops, and assessments to align with customer needs and position Aera's Decision Intelligence platform as a transformative solution.

The Senior Technical Recruiter will manage the full-cycle recruiting for technical roles in Data, Machine Learning, and Software Engineering, working closely with engineering leadership to build talent pipelines and evaluate candidates' technical skills.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

As an Entry-Level Solution Engineer, you will learn to design AI-driven solutions, support implementations, and develop customer engagement skills in a collaborative environment.

The Global Process Owner for S&OP leads the design and continuous improvement of the S&OP process, ensures collaboration across functions, and drives digital transformation and automation within the organization.

The Executive Director of Advanced Analytics & Data Science leads BeOne's strategic vision in data analytics, AI, and machine learning, driving commercial success and innovation while managing a high-performing team and ensuring data-driven decision-making across the organization.

The Senior Manager will design and implement AI-driven underwriting processes, assess current practices, and improve risk assessment through automation and data analysis, while collaborating with various teams.

The Senior Technical Product Manager will lead the roadmap for Aledade's AI Data Platform, collaborating with various teams to enhance AI capabilities and improve healthcare outcomes for patients.

The role involves developing prompts for AI insights, evaluating AI vs. human judgment, designing frameworks for portfolio management, and constructing benchmarks for AI systems in wealth management.

As an Insurance Expert in AI Residency, you will develop prompts, evaluate human vs AI judgment, design frameworks, and construct benchmarks for frontier AI systems in insurance.

Lead AI ML Engineer responsible for building AI systems, ensuring model quality, and driving architecture and governance standards while collaborating cross-functionally.