Top Machine Learning Jobs in Minneapolis, MN

As a Machine Learning Intern, you will design and implement machine learning algorithms, evaluate models, and contribute to generative AI applications while working with large datasets.

Develop and optimize AI-driven solutions for the healthcare sector, collaborating with platform engineers to enhance integrations and functionalities.

The Senior Technical Data/ML Product Owner will drive the development of AI/ML-powered products, shape data strategies, and lead cross-functional teams to enhance consumer financial identity and decision-making.

As a Machine Learning Engineer at NobleAI, you will design and deploy MLOps architecture, collaborate on model deployment, and automate production processes.

Lead clinical machine learning initiatives, productionize software, manage roadmaps and stakeholders, and guide a team of engineers and data scientists.

The ML Infrastructure Engineer will lead engineering efforts in developing scalable ML platforms, enhancing training and inference pipelines while collaborating with researchers and managing cloud-based deployments.

As an Intern Data Scientist/Machine Learning Engineer, you will develop machine learning models, analyze data, and collaborate with experienced professionals in a fast-paced environment.

As a Senior Quantitative Scientist at Verana Health, you will develop NLP models, analyze health data, and collaborate across teams to enhance patient care.

The Machine Learning Engineer III will design, develop, and deploy machine learning solutions, collaborating with various teams to improve data insights and model performance while maintaining compliance with healthcare standards.

As a Machine Learning Engineer, you will develop, productionize, and scale real-time machine learning models, collaborating cross-functionally with various teams to enhance personalization and recommendation systems.

The Staff Machine Learning Engineer leads the development of AI and machine learning systems, mentors teams, and ensures scalable, production-grade solutions while enhancing user engagement.

Build and maintain production pipelines for Machine Learning applications, optimize systems, and contribute to product strategy in a collaborative environment.

As an ML Research Engineer Intern, you'll build high-quality web data and contribute to running distributed data processing while enhancing data quality with small models.

As a Staff Machine Learning Engineer, you will apply deep learning and generative AI technologies, build end-to-end ML solutions, and collaborate with teams to launch innovative features.

The role involves enhancing mapping and localization capabilities using computer vision and machine learning. Responsibilities include designing systems, optimizing techniques, prototyping algorithms, and ensuring robust performance in production.

As a Senior ML Engineer, you'll develop and refine prompts for AI tools, collaborating with technical and non-technical teams to enhance AI outcomes and manage prompt libraries.

The Senior Machine Learning Engineer will design and implement an RL-based bidding agent and enhance ML inference speed and scalability.