Top Machine Learning Jobs in Minneapolis, MN

Lead vision, strategy, and roadmap for Agentic AI, automation, and intelligent workflows across HR. Identify opportunities, design future-state experiences, build reusable platforms, evaluate vendors and technologies, establish governance and responsible AI practices, and drive cross-functional adoption to deliver measurable business outcomes.

Lead AI/ML strategy for Medicare & Retirement, identify and prioritize high-impact AI use cases, secure funding, and oversee end-to-end delivery of production-grade AI/ML and Agentic AI solutions. Build and mentor large AI engineering teams, embed responsible and secure AI practices, partner cross-functionally, and communicate outcomes to senior leadership.

Lead HR AI product strategy and roadmap, oversee delivery of AI-powered employee/manager/HR experiences, establish governance and vendor partnerships, monitor KPIs and compliance, and partner with executives, technology, risk, legal, and HR teams to deliver scalable, responsible AI solutions across the enterprise.

Hands-on senior analytics role to acquire, model, and prepare data, develop detection strategies, and take AI/ML solutions from prototype to production to mitigate employee, fraud, regulatory, and reputational risks while advising senior leadership.

Lead Oracle Cloud finance transformation engagements, set strategic direction, oversee complex implementations, mentor teams, build client relationships, and drive process and technology improvements across ERP and EPM solutions.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

Lead design, packaging, and commercialization of AI solutions across Optum.ai portfolio. Define portfolio roadmap, convert innovations into scalable offerings, enable go-to-market, support delivery, manage partnerships, set pricing and KPIs, and drive client impact and growth.

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

Lead ideation, design, and scaling of enterprise-level neurology and behavioral health clinical programs using claims/clinical data and advanced analytics. Manage a small team, build business cases and KPIs, collaborate cross-functionally, ensure regulatory compliance, support implementation, and iterate program performance to improve affordability, outcomes, and member/provider experience.

Lead the B2B Managed Lifecycle Marketing team to own end-to-end lifecycle strategy for managed enterprise accounts. Drive pipeline, onboarding, retention, and expansion through integrated email and in-product campaigns, analytics, experimentation, and cross-functional collaboration while managing a team of three.

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.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

The Staff Product Manager, Conversion ML will shape product strategy for Liftoff's machine learning system, Cortex, develop new ideas, conduct experiments, and adapt roadmap based on data.

The Director of AI/ML Engineering will drive AI transformations, manage a large engineering team, ensure project delivery, and influence business strategies in healthcare.

Analyze malware and customer detection reports to improve machine-learning based detections, reduce false positives, reverse engineer binaries, review product detections, and support internal teams on threat detection efficacy and remediation.

Lead CrowdStrike Finance & Accounting AI transformation: define operating model and governance, prioritize AI use cases, oversee POC-to-production delivery, drive enablement and change management, measure benefits realization, and report outcomes to executives.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

Lead deployment, configuration, optimization, and operational support of CrowdStrike Falcon AI/ML detection and response capabilities. Tune ML models, build automation playbooks, develop scripts using Falcon APIs, integrate AI features with customer toolchains, support incident response and threat hunting, deliver customer workshops, and mentor team members. Travel up to 25%.

Lead and scale Toast's lending products (Toast Capital and new embedded finance offerings). Own product vision, roadmap, underwriting, servicing, and AI-native lending platform. Partner with risk, data science, capital markets, engineering, legal, compliance, and operations. Hire and coach product managers, define metrics and operating cadence, and drive growth while maintaining compliance and portfolio health.

Lead negotiation and closing of SaaS, cloud and AI-related commercial agreements; partner with sales, product, engineering and support; ensure data privacy, security, and evolving AI governance compliance; enable sales through training and high-volume deal support; find commercial solutions to close complex, time-sensitive deals.

Partner with functional leaders to translate business strategy into people strategy. Own org design, performance management, compensation, talent development, engagement, and retention. Provide coaching on career pathing, change management, and sensitive employee issues. Use people data to generate insights and recommendations, build compliant HR policies, manage global employee relations, and collaborate with People Team COEs to deliver cohesive people programs at scale.

Lead and transform the Fraud Intelligence Team into a high-impact function by improving operating models, QA, tooling, and metrics; build entry-level talent programs; connect labeling to measurable fraud prevention outcomes; deliver actionable insights to Product, R&D, Analytics, and GTM; and leverage AI and automation to increase productivity and business impact.

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.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.