Top Machine Learning Jobs in Minneapolis, MN

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

Lead the design and deployment of AI systems for cybersecurity, mentoring engineers, and ensuring compliance with risk management processes.

As a Senior Product Manager, you will lead product vision and strategy, collaborate with teams across Iodine, and manage healthcare technology initiatives.

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

The AI Data Scientist will leverage proprietary language-based clinical data to develop insights, support operations, and enhance patient experiences through innovative AI solutions.

Lead growth marketing efforts by leveraging AI for worker acquisition and retention, utilizing data science to optimize strategies, manage campaigns, and conduct performance reporting.

Lead special projects and initiatives in AI Factory Physical Datacenter operations, managing infrastructure builds and cross-functional teams while ensuring safety and compliance.

The Director of Lifecycle Marketing Operations will lead a team to enhance customer acquisition and retention strategies using AI analytics and automation.

Lead and scale the AI Center of Excellence, developing innovative AI solutions for cybersecurity, collaborating across functions, and managing a global team.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

Lead data science and AI initiatives, drive operational excellence, build teams, and translate data insights into business strategy for growth.

The role involves scaling training systems for speech technologies, building internal tools, and innovating data strategies in machine learning.

The Senior Manager, Product Analytics will lead a team to analyze product performance, drive data-driven strategies, and collaborate with cross-functional teams to enhance customer experience.

Manage customer accounts for Anduril's defense technology, overseeing deployment of products, nurturing client relationships, and collaborating with teams to meet operational needs.

As a Senior Software Engineer at Samsara, you'll architect and build innovative software products, tackle complex problems, collaborate across teams, and engage directly with customers to deliver impactful solutions.

Develop and maintain machine learning models for production systems, optimize ML pipelines, and ensure efficient data processing and model performance monitoring.

This role involves analyzing breaches, improving detection methods, and collaborating with teams to enhance cybersecurity efficiency and response to threats.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The Staff Data Scientist will lead predictive solutions development, collaborating with multiple teams to drive business outcomes through AI/ML model implementations.

Lead research initiatives to enhance content strategy, evaluate emerging technologies, and collaborate with teams to innovate content development practices.

The Customer Success Engineer at Deepgram will engage with enterprise customers, offering technical expertise and driving adoption of AI solutions while identifying opportunities for growth.

Lead a team of Computer Vision and Machine Learning Engineers, driving the development of models for 3D dental platforms and implementing best MLOps practices.

Lead the Machine Learning Platform team at Coinbase. Responsibilities include managing engineers, collaborating on roadmaps, coaching, and ensuring high system availability.

The Senior Software Engineer will develop AI-driven data pipelines, scalable applications, and web apps to enhance vehicle engineering and customer experience, collaborating cross-functionally and ensuring software quality and compliance with standards.

The role involves deploying machine learning models for autonomous vehicles, developing software for ML runtimes, and collaborating with AI teams.