Top Machine Learning Jobs in Minneapolis, MN

The Senior Machine Learning Engineer will develop ML models and infrastructure for production, focusing on receipt understanding, fraud detection, and ads ranking. Responsibilities include model training, deployment, and collaboration with engineering teams to drive impactful results.

As a Machine Learning Engineer, you'll leverage proprietary data to develop ML models, enhance customer experiences, and drive innovative data-driven solutions. You'll work with an agile team to identify opportunities and conduct data engineering tasks.

The Machine Learning Engineer will develop and deploy models for NLP tasks, design data processing pipelines, and collaborate with teams to meet data needs.

As a Principal Solutions Architect, you will design data solutions, provide thought leadership, and enhance client engagement in machine learning.

As a Staff Data Scientist at Quince, you'll develop predictive models, optimize marketing strategies, and integrate data insights to enhance growth and customer engagement.

As a Research Intern at Symbl.ai, you will assist in AI/ML research, deploying machine learning techniques, and contribute to the development of the Nebula LLM.

As a Machine Learning Engineer, you will design and maintain scalable infrastructure for AI systems, collaborate on model deployment, and ensure compliance and optimization.

As an ML Engineer at Symbl.ai, you will focus on developing and optimizing large language models, ensuring real-time inference capabilities while collaborating across teams to integrate and evaluate machine learning models.

As a Machine Learning Engineer, you'll develop algorithms for search and recommendation systems, run experiments, and optimize machine learning models while taking ownership from development to deployment.

Wizard is looking for a Staff Machine Learning Engineer to develop dialog systems. Responsibilities include building training pipelines for LLMs, deploying models, and addressing customer issues. A strong background in ML and Python is preferred.

The role involves building ML training pipelines, deploying LLMs on GPUs, and developing machine learning products. Candidates should have strong ML experience, especially in Python and PyTorch, with knowledge of systems at scale.

Lazarus seeks a Machine Learning Research Scientist to design and implement AI models, focusing on document understanding, NLP, and computer vision, while advancing core technologies and collaborating on impactful research.

The Data Scientist will develop applied statistical models, create ML pipelines, and deliver insights on message effectiveness. Collaboration with interdisciplinary teams is essential.

Lead the development of data science strategies for inventory and logistics planning, focusing on predictive modeling and optimizing operational efficiency.

As a Senior Gen AI/ML Engineer, you will leverage AI/ML solutions to solve business challenges in insurance, developing models and guiding a team.

The Staff Machine Learning Engineer will lead ML orchestration and deployment, optimize systems, and foster collaboration across teams to enhance efficiency and scalability in ML operations.

As a Senior Data Scientist, you will develop experiments and quantitative models to enhance Pinterest products, collaborating with cross-functional teams to implement findings.