Top Machine Learning Jobs in Minneapolis, MN

The Principal Machine Learning Engineer will design, develop, and deploy machine learning systems, improve data pipelines, and collaborate with stakeholders to enhance model development processes.

Join as a Machine Learning Engineer to develop and deploy AI solutions, create scalable data pipelines, and implement best practices in MLOps and DevOps.

As a Data Engineer, you will build and operationalize data solutions, perform analysis, and support AI and ML initiatives.

Responsible for recruiting senior technical talent in AI, refining strategies, engaging passive candidates, and managing recruitment processes.

The Senior AI/ML Engineering Recruiter is responsible for recruiting top technical talent in AI, utilizing data-driven strategies, and managing the end-to-end recruitment process.

Design and implement scalable data infrastructure and services for ML teams focusing on data pipelines, APIs, and mentoring junior engineers.

The Senior AI/ML Engineer will develop AI applications, collaborate with teams and customers, and create solutions for existing clients.

The Senior AI/ML Engineer designs and maintains AI, NLP, and machine learning models, collaborating with teams to integrate them into production and ensure performance.

The Staff ML Engineer / ML Team Lead at Zencoder will lead the development of AI-driven solutions, focusing on AI pipelines and models for code generation and refinement. Responsibilities include creating embedded AI agents, collaborating with teams, testing solutions, and staying updated on industry trends.

Lead the development and deployment of machine learning models for a healthcare-focused technology platform. Manage complex projects and mentor team members.

The Senior Solutions Architect will address complex cloud infrastructure challenges while collaborating with various teams to enhance customer success and engagement with DigitalOcean's products, especially in the AI/ML realm.

Lead development and optimization of LLMs and MoEs, mentor junior engineers, conduct research, and improve model performance.

As an Associate Machine Learning Engineer, you will develop and optimize ML models, build scalable systems, and collaborate with teams to enhance ML capabilities.

As a Machine Learning Developer, you will automate the machine learning model lifecycle, implement best practices, and design shared libraries for data engineering and CI/CD tooling.

Provide strategic guidance on ML architecture design for scalable ML pipelines, collaborating with teams, and mentoring junior members in production environments.

Develop and optimize large language models for NLP tasks, collaborate with cross-functional teams, and stay updated on research advancements.

As a Senior Machine Learning Engineer, you will design and implement ML systems across various sectors, lead technical discussions, and collaborate with data scientists to drive innovative solutions.