Top Machine Learning Jobs in Minneapolis, MN

Lead design, development, deployment, and maintenance of AI-powered solutions (LLMs, Generative AI, traditional ML) for provider-facing products. Build chatbots and conversational NLP, integrate AI into cloud (preferably AWS), ensure responsible AI practices and compliance, provide technical leadership, mentor engineers, and collaborate with product and architecture teams.

Lead sales for medical imaging and clinical data products, develop go-to-market strategy, generate and manage pipeline, negotiate complex licensing deals, collaborate with product and marketing, forecast in CRM, and represent the company at industry events to drive revenue growth and client relationships.

Design, implement, and maintain large-scale identity and access management solutions in public and private cloud. Implement OAuth/OIDC/SAML standards, assess and improve identity and cloud security posture, drive threat modeling and proactive security, and lead architecture initiatives for authentication, federation, SSO, and resiliency (SRE/DDoS mitigation).

The role involves designing and developing AI applications for healthcare, focusing on machine learning solutions, data processing, and high-quality code delivery.

Lead the design, development, and deployment of advanced machine learning solutions at Optum Tech, mentoring junior engineers and collaborating across teams.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.

Analyze malware and detection tickets to improve detection capabilities. Collaborate with internal teams on threat detection inquiries and perform tasks to manage false positives.

Design, lead, and evolve the Channel Integrity Program to manage risks related to bribery, corruption, and fraud, utilizing predictive analytics and compliance strategies.

Join as a Senior AI/ML Engineer to develop cloud-based AI solutions involving NLP and OCR, mentoring team members, and delivering impactful AI-driven automation.

The Technical Talent Partner will manage the recruiting process for critical roles in Technology and Product, leveraging data-driven methodologies, ensuring talent quality, and navigating offer negotiations.

The Senior RAG Engineer at Wipfli will develop AI-powered solutions, working on application design, API construction, and data integration to enhance enterprise AI capabilities.

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

Lead and develop a team of backend engineers, ensure high standards for core pricing systems, and guide technical strategy while collaborating across teams.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

As a Customer Service Representative, you'll manage inbound customer calls, provide exceptional service, and assist with account-related inquiries after a 4-week training program.

The Principal Software Engineer leads the design and development of production planning software, improving deployment processes and mentoring junior staff while ensuring high-quality software and technical support.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

As a Research Scientist Intern, you'll work on machine learning problems, prototype features, write production code, and collaborate with mentors.

The Sr Director leads applied AI research teams to operationalize AI solutions, ensuring scalability and reliability, while driving innovation and collaboration across teams.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

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.

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.