Top Machine Learning Jobs in Minneapolis, MN

Lead the product development for EarthDaily Constellation data services, working with engineering and sales teams to address market needs and execute roadmaps.

As a Data Scientist, you will design and deliver complex predictive models, communicate insights, and mentor less experienced talent while solving key business challenges using advanced statistical techniques and machine learning.

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.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Senior Director of Data leads RVO Health's data functions, overseeing teams in analytics, engineering, data science, and AI while executing a comprehensive data strategy to drive business outcomes.

The HR Technology Director leads the optimization of HR digital infrastructure, ensuring efficient, data-driven processes and improving employee experience through technology integration and change management.

Lead AI strategy and execution in healthcare by developing advanced AI/ML solutions, establishing ethical AI governance, and mentoring talent.

This senior AI/ML engineering role focuses on designing ML models, embedding creation, RAG pipeline development, and integrating AI solutions within enterprise applications. Collaboration with cross-functional teams and optimization of AI pipelines are key responsibilities.

Develop algorithms for image segmentation, classification, and detection in Onto's inspection systems, utilizing machine learning and optical imaging techniques while supporting production code development.

The Solutions Architect will lead the architecture and design of IoT solutions, defining technical strategies and collaborating with teams to ensure scalable and secure systems.

Own and scale Coinbase's notification platform and experience to grow MAU, drive engagement, and maximize LTV using ML-driven personalization, analytics, and cross-functional execution.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

The Senior Applied Scientist will develop and manage AI solutions for Thomson Reuters, focusing on machine learning, NLP, and information retrieval to drive product innovation. They will collaborate with product teams and stakeholders, ensuring technical alignment with business goals.

The Senior Research Engineer will develop and deliver scalable ML solutions, collaborate with teams, and apply innovative technologies in AI to impact professionals in legal and accounting fields.

As a Lead Applied Scientist, you will define research strategy, mentor teams, and innovate AI/ML solutions for legal and other professional sectors.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The Client Partner will drive adoption of the Aera Decision Cloud by engaging with senior executives at enterprise clients, identifying opportunities, and managing client relationships. Responsibilities include strategic planning and achieving revenue targets in a consultative sales approach.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

Join Wasabi as an AI Engineer intern to build scalable machine learning solutions. Responsibilities include maintaining ML pipelines, model integration, and collaboration with various teams to drive AI initiatives.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

This role involves leading and coordinating technology initiatives in the Spend Management domain, collaborating with cross-functional teams to ensure effective program execution, risk management, and alignment with responsible AI practices.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.