Top Machine Learning Jobs in Minneapolis, MN

As a Sales Manager at Cloudbeds, you'll identify new business opportunities, build relationships, and showcase SaaS solutions for hospitality clients, focusing on client acquisition through proactive outreach and product demonstrations.

The Regional Account Manager will manage client relationships, ensure client retention, and develop strategies to meet client needs in the healthcare industry, focusing on improving performance and securing renewals.

The Enterprise Sales Executive will own a regional territory, drive sales processes, build relationships with health plans, and close multi-year contracts for software solutions in healthcare.

In this role, you'll develop machine-learning models for geospatial data, leveraging EO, MSI, and SAR sensors, and oversee model lifecycle from development to deployment.

The role involves developing ML models, designing pipelines, elevating ML practices, and aligning technical projects with business objectives in game development.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The Sales Development Representative will identify new business opportunities, qualify leads, and support sales strategies in the U.S. market, collaborating with sales and marketing teams to enhance lead generation and relationships.

The VP of AI will lead NeoWork's AI strategy, ensuring adoption, developing workflows, building capabilities, and enhancing client value through AI integration.

The role involves defining the vision and strategy of the Outreach AI Platform, prioritizing the roadmap, collaborating with engineering and data science teams, and engaging with customers to refine AI strategies.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

The Senior Product Manager will lead the development of medication prescribing capabilities, utilizing AI and machine learning to enhance member experiences and drive health engagement.

Lead the design, execution, and analysis of machine learning-driven product experiments to optimize ordering systems. Collaborate with stakeholders and mentor teams.

As the Lead AI Strategist, design and deploy advanced AI/ML models to optimize revenue and mitigate medical costs, impacting financial performance directly.

Lead Reliability & Observability initiatives, collaborate with engineering and product teams, ensure robust operations of Airbnb's platform, and drive AI projects.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

The Director of Artificial Intelligence will define, lead, and implement AI strategies, managing R&D, building teams, and ensuring ethical AI use to drive business outcomes.

As a Product Manager for Partnerships, you'll drive execution of partnerships by defining requirements, prioritizing tasks, and ensuring high-quality integration of partner-driven initiatives. You'll work across business development, engineering, and operations, managing multiple integrations effectively, and may require up to 30% travel for collaboration with partners and teams.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

Lead the implementation of AI-driven supply chain solutions, collaborating with clients to enhance their business processes and ensure seamless technology integration.

Drive new enterprise customer acquisition and growth for Arize AI by prospecting, conducting discovery with AI/ML stakeholders, running POCs, and closing full-cycle SaaS deals. Build relationships, create sales plays, scope licensing, and collaborate internally to drive adoption and expansion.

The Technical Marketing Manager will oversee marketing for AppSec, AI/ML Security, and Research & Engineering, focusing on content creation, social media, demand generation, and analytics. This role requires technical fluency and collaboration with engineering teams to effectively communicate complex concepts to technical and business audiences.

The advisor combines engineering expertise with operations knowledge to assess grid technology impacts, manage research projects, and improve reliability in MISO's grid operations.