Top Machine Learning Jobs in Minneapolis, MN

As a Machine Learning Engineer, you'll develop ML models and systems, collaborate with cross-functional teams, and experiment with data-driven methods to enhance user personalization on Pinterest.

Lead machine learning-driven product development, optimize customer personalized experiences, and collaborate across teams to improve financial products. Mentor juniors and ensure system quality.

As a Senior Product Manager, lead strategic initiatives in data engineering and analytics, develop roadmaps, manage product backlogs, and drive business growth in a fast-paced environment.

Lead the engineering strategy and team at interface.ai, driving technological development, managing resources, and delivering innovative AI solutions for banking institutions.

Lead a machine learning team to develop and deploy cutting-edge ML systems for creative tools, ensuring team performance and collaboration.

The Senior Product Manager will lead the RAD team, focusing on AI and automation, collaborating across departments, and managing product strategy and development.

The role involves leading consulting sales for healthcare payers, achieving revenue targets, and driving consulting services. Requires extensive consulting experience in healthcare and strong leadership skills.

The SkillBridge Internship at Technergetics offers military members the opportunity to gain skills in technology roles, potentially leading to full-time employment.

Lead the engineering team, formulate technology strategies, manage product development, drive business goals, and enhance team performance while building quality assurance processes.

Lead strategic efforts in data acquisition and optimization, establish partnerships for high-quality datasets, and manage large data projects while overseeing a team.

The Staff Product Manager will define strategy, enhance ML-enabled ranking systems, and work with ML engineers to improve user experience at Reddit.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

Design and maintain ML infrastructure, collaborate with teams to enhance search capabilities, and improve ML software development lifecycle.

Lead applied machine learning teams to develop and deploy solutions, collaborating with cross-functional teams to align with business objectives and drive innovation.

As a Staff Software Engineer in Applied AI, you will innovate, collaborate, integrate, and optimize AI solutions for healthcare automation, enhancing both platform functionality and performance.

As a Senior Data Scientist, you will optimize product performance through data analysis, support product initiatives, and collaborate with teams to drive innovation.

As a Senior Data Scientist, you will build models, provide mentorship, and develop techniques to optimize user experiences and drive business value.