Top Machine Learning Jobs in Minneapolis, MN

Lead the design, development, and deployment of advanced machine learning solutions at Optum Tech, mentoring junior engineers and collaborating across teams.

Develop AI strategies and innovative ML solutions for healthcare; design, implement, and deploy advanced models; collaborate across teams and publish research.

Lead the AI ecosystem partnership strategy, managing vendor relationships, overseeing RFI/RFP processes, and ensuring compliance while maximizing value and sustainability in AI initiatives.

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

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

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

The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.

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.

As a Technical Content Writer, you will create and manage technical documentation for Runpod's GPU cloud platform, collaborating with various teams to ensure clarity and engagement while staying updated on AI trends.

The Senior Director, Applied AI & Data Science leads AI-driven transformations in healthcare, managing strategies for software delivery and integration, while collaborating with business leaders for impactful AI use cases.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

The Director of Product Management for the Data and AI Platform is responsible for developing and scaling a data infrastructure to support AI-driven insights and features, managing a product team, and delivering AI capabilities that enhance identity security solutions.

The Principal Algorithms Researcher will lead R&D efforts in machine learning and algorithms, focusing on cybersecurity challenges, while collaborating with experts to develop innovative methodologies that scale with data.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

The role involves researching dark web data, managing threat intelligence for clients, and collaborating across teams to ensure effective security measures. Analysts will analyze findings, guide clients, prepare presentations, and develop innovative solutions to enhance customer satisfaction while focusing on digital risk monitoring.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

Lead the design and deployment of machine learning solutions to address healthcare challenges, mentor data scientists, and ensure model compliance and interpretability.

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.

The Senior Operations Associate will define workstreams for ML initiatives, plan data collection, enhance workforce skills, manage project health, and ensure stakeholder alignment in Dandy's operations.

The Product Owner II drives product strategy and backlog management by collaborating with cross-functional teams, focusing on enhancing underwriting processes through analytics and AI solutions, ensuring alignment and delivering business value.

The Staff Backend Product Software Engineer will lead a team in delivering technical solutions, collaborating on product management, and mentor engineers while maintaining high standards in a reliable, scalable environment.

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

The Associate Product Counsel will advise on privacy and data protection issues, support incident responses, collaborate on AI projects, and ensure legal compliance for product launches.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.