Top Machine Learning Jobs in Minneapolis, MN

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

The Director of Digital Business Innovation will lead digital transformation initiatives, emphasizing data, AI, and ML to enhance operational efficiency and business innovation. Collaborate with various teams to execute strategies and drive business results.

Lead AI/ML projects, develop machine learning models, mentor teams, and collaborate on innovative AI solutions for improving health outcomes.

Develop AI approaches for healthcare, design experiments, collaborate with stakeholders, and maintain compliance while using advanced ML techniques.

Lead the strategic vision and implementation of AI solutions in consumer digital experiences, focusing on conversational AI across multiple engagement channels to enhance user interactions.

Lead the design and implementation of AI/ML strategies, collaborate with executives, and provide technical leadership in AI-focused enterprise transformations.

As an AI/ML Lead, you will drive innovation in IT Operations through machine learning systems, enhancing incident response and infrastructure management.

Lead initiatives to enhance Medicare shoppers' experiences through AI-driven solutions. Oversee model design, implementation, and deployment, focusing on scalable AI and ML architectures.

The role involves developing and deploying AI/ML models in the Pharmacy domain, utilizing generative AI technologies, collaborating with pharmacists, and optimizing model performance in production environments.

The AI/ML Research Intern will perform research, implement ML algorithms, and communicate findings to enhance healthcare outcomes through advanced AI techniques.

As a Lead AI/ML Engineer, you will design and implement AI systems, lead a team, collaborate with stakeholders, and drive innovative solutions for patient care.

As a Senior AI/ML Engineer, you'll design and deploy machine learning models, optimize algorithms, and collaborate with teams to enhance pharmacy services through AI technology.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The fellow will conduct original security research on AI/ML systems, design attack methodologies, develop defensive techniques, and publish findings.

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

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

Lead GenAI/AI initiatives by collaborating with cross-functional teams to identify opportunities, ensure ethical practices, and develop scalable solutions. Communicate effectively with stakeholders and support successful project transitions into products.

As an AI & Data Strategy Architect, you'll advise clients on leveraging data and AI for business transformation, design implementation roadmaps, and guide the adoption of modern data platforms and machine learning solutions.

As Director of Engagement Management, oversee the team, drive customer success strategies, manage operations, and enhance product utilization while fostering team development and customer relationships.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.