Top Machine Learning Jobs in Minneapolis, MN

The Principal Data Scientist leads the development of data-driven solutions, employing advanced analytics and machine learning to derive actionable insights. This role involves managing complex projects, collaborating with cross-functional teams, and developing training materials to enhance data literacy across the company.

The Staff Software Engineer - Applied AI will own the application of AI within the Cortex platform, collaborating with Product and Engineering teams to enhance functionality and user experience using modern AI techniques. Responsibilities include identifying opportunities for AI applications, staying updated on ML/AI trends, and contributing to technical strategy.

As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.

The Senior Engineering Manager at HubSpot will lead a group of small teams, defining product roadmaps and technical strategies, while actively coding during their initial embedding period. They will focus on fostering team culture, mentoring engineers, and collaborating with product and design leaders to solve customer challenges, while promoting diversity and recruitment efforts.

As a Data Science TLM Manager, you will shape Airbnb's search and personalization strategy by leading a team of data scientists, developing specialized models for the recommendation platform, and ensuring collaboration between the relevance team and product organization to enhance user experience.

The Senior Analytics Engineer will translate business needs into technical specifications, build analytics solutions, and develop complex data transformations within the Arine data lake while collaborating with various teams. The role requires creating data models and visualizations to present data in action-oriented formats.

Limitless is looking for a Senior / Staff Software Engineer (Systems Backend) to help build scalable and robust backend systems, integrate APIs, and deploy features that respect user data. Join a small team with a big impact on human intelligence augmentation and AI. Benefits include top-of-market compensation, remote-first work, and more.

The VP of Technology, Data & AI is responsible for leading a team of data and AI engineers, shaping data strategies, overseeing data architecture, and driving innovative AI solutions. This role involves collaboration across teams to ensure project delivery aligning with business goals, while fostering a culture of innovation and excellence.

As a Data Scientist Manager, you will lead projects transforming clients through data, develop data science products, mentor junior team members, and write optimized code while enhancing client relationships and promoting team happiness.

As Engineering Lead, you will define product execution strategy, lead and grow a team of engineers, manage team dynamics, and drive the organizational mission forward. You'll focus on building a customer-centric culture and ensure product success through metric analysis and strategic insight.

As an Enterprise Customer Experience Manager, you will advocate for enterprise customers, ensuring their support agreements are fulfilled while monitoring customer health and facilitating proactive engagement. Your role will involve coordinating technical support, enhancing customer satisfaction, and analyzing feedback to improve service quality.

The Director of AI and ML at Spring Health will build and lead the AI Foundations Platform, develop data products, manage ML and data science teams, drive AI strategy, and ensure the platform's scalability and security. They will also oversee the integration with the company's infrastructure and promote AI innovation.

The AI/ML Engineering Senior Manager will be responsible for growing AI capabilities in the product and platform. They will manage a team of data scientists, machine learning engineers, and software engineers. They will collaborate with product management, UX designers, and business stakeholders to deliver AI-enabled software solutions and platform capabilities. The role requires strong technical leadership, experience in data science and AI, and proficiency in git-based workflows and machine learning tools.

The Solution Architect for Partner Development will manage partnerships, drive account planning and sales strategies, conduct technical workshops, lead product demonstrations, and act as a domain expert in AI/ML to optimize partner performance and continuously improve the customer experience at Arize.

The Account Executive will focus on driving revenue through Cloud and AI infrastructure sales, targeting mid-market customers. Responsibilities include engaging prospects, understanding customer needs, managing forecasting, and utilizing sales tools such as Salesforce and ZoomInfo. Collaboration with technical teams is also essential for supporting product development.

The Perception Engineer will develop and implement algorithms for autonomous driving systems, focusing on tasks such as object detection, multi-object tracking, and sensor fusion. The role includes prototyping algorithms, conducting research, and managing a perception team while contributing to the recruiting process.

The Enterprise Account Executive will drive sales and build relationships to close enterprise deals, ensuring customer satisfaction and managing both new and existing accounts. This role involves using a solution-based approach and collaborating with various teams to meet strategic goals and achieve revenue targets.