Top Remote Machine Learning Jobs in Minneapolis, MN

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

Administer and analyze health, welfare, retirement, and leave programs across US, Canada, and LATAM. Manage enrollments, renewals, open enrollment, compliance filings, vendor and broker relationships, benefits reporting, and employee communications while driving cost-saving and compliance initiatives.

Use advanced analytics and ML to design and monitor credit risk models, optimize underwriting and credit strategies, partner with Engineering/Product/Compliance, oversee portfolio performance and regulatory alignment, and lead cross-functional initiatives to balance growth, compliance, and risk mitigation.

Lead end-to-end ML initiatives: design, prototype, optimize, and productionize models (especially LLMs and generative models) on healthcare data; run A/B and statistical analyses; research novel ML approaches; mentor and recruit ML staff; present to leadership and drive optimization initiatives.

Lead the design, development, and deployment of AI and machine learning solutions, mentor teams, and drive innovations in healthcare data analysis.

Design and implement AI/ML solutions for healthcare, collaborating with teams to translate complex requirements, deploy models, and process large datasets.

The Senior AI ML Engineer will develop AI systems, ensure model quality, lead architecture governance, and manage observability for healthcare solutions.

Lead the design and development of AI/ML models for healthcare. Collaborate with business partners and other teams to ensure high-quality execution and adherence to architectural principles.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

Lead manager enablement and AI-native learning programs across Coinbase. Own end-to-end manager onboarding, design AI-driven interventions, facilitate live and self-service learning, partner with HR teams, set success metrics, and consult on cross-functional content to drive measurable behavior change and scale.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

Design and implement AI/ML systems for healthcare, own inference and delivery, manage/scale production ML systems, build scalable data pipelines and APIs, apply MLOps practices (deployment, monitoring, drift detection), and work with large-scale data and distributed computing frameworks.

Lead design, deployment, and operation of production ML systems and inference pipelines. Build and scale APIs and services on Kubernetes, optimize pipelines, monitor model performance and drift, and partner with cross-functional teams to deliver ML insights to customers.

Lead cloud migrations for voice contact center solutions, design AI/ML capabilities, improve automation and governance, and ensure production readiness while collaborating with cross-functional teams.

Oversee AI/ML project development, mentor teams, develop machine learning models, and promote AI solutions for healthcare optimization.

Design, build, and deploy production-grade ML and AI solutions for behavioral health. Architect end-to-end MLOps pipelines, optimize and monitor models in production, evaluate emerging AI trends, collaborate cross-functionally, and provide technical leadership and mentorship to engineering teams while ensuring responsible, scalable, and secure AI deployments.

Design, build, test, and deploy production AI/ML solutions and full‑stack applications (React/Next.js, Python, PostgreSQL). Integrate LLMs and agentic AI frameworks, develop backend services/APIs, collaborate cross-functionally, and optimize reliability and performance within regulated clinical workflows.

As a Principal Applied Scientist, you'll define the technical vision for offer optimization and conversion modeling systems, ensuring alignment across teams while overseeing large technical initiatives and contributing to real-world machine learning solutions.

As a Senior AI/ML Engineer, design and deploy AI solutions using Generative AI techniques within cloud-native architectures, mentoring junior engineers and ensuring compliance with ethical standards.

Develop novel AI approaches for healthcare using structured and unstructured data, build ML models, conduct experiments, and collaborate with stakeholders.

Develop AI approaches using structured and unstructured data, build ML models, perform statistical analysis, and collaborate with stakeholders and experts.

Develop AI/ML solutions focusing on healthcare by optimizing digital experiences, collaborating on innovative research, and ensuring compliance with AI policies.

As a Lead AI/ML Engineer, you will design and implement scalable AI solutions, mentor teams, and integrate cutting-edge technologies to improve healthcare applications.