Top Machine Learning Jobs in Minneapolis, MN

The Senior Product Manager will develop AI tools, collaborating with research, engineering, and design to meet user needs and drive business value.

The Machine Learning Solutions Architect designs and implements data solutions, overseeing model deployment and ensuring robust performance and integration within customer environments.

Lead the design and execution of ML-based targeting products, improving advertiser outcomes while mentoring junior engineers and collaborating with cross-functional partners.

Lead the design and architecture of GNN and transformer-based multi-entity embedding generation for Reddit's recommendation systems, collaborating across teams and optimizing machine learning pipelines.

As a Senior ML Engineer, you will develop and optimize machine learning systems, focusing on training pipelines and fine-tuning LLMs while collaborating cross-functionally and mentoring junior team members.

As a Senior Software Engineer, you'll develop AI-powered solutions, integrate LLMs and AI services into healthcare systems, and mentor team members.

Lead the development and deployment of scalable machine learning models for fintech applications, collaborating with various teams to meet business objectives.

Lead the design and maintenance of an RL-based bidding agent, enhance ML inference speed, and ensure high-quality production code while collaborating with the team.

The role involves leading ML/AI solutions, managing technical roadmaps, collaborating with stakeholders, and driving innovation in products and services.

The Principal Product Manager will own the product vision and delivery of Vidmob's creative analytics platform, understand customer challenges, drive development of features, and collaborate cross-functionally to optimize product impact.

Lead development of data pipelines and workflows for ML models, design scalable data processing environments, and ensure high data quality.

The Senior ML Engineer will design and deploy large-scale ML systems for personalized recommendations, directly impacting user engagement and revenue. Responsibilities include building models serving 100M+ predictions daily and optimizing data processing pipelines.

As a Senior ML Engineer, you will develop and optimize ad algorithms to enhance engagement and revenue, collaborate with teams, and implement scalable ML systems.

The role involves building and optimizing large-scale ML systems for personalized recommendations that drive engagement, retention, and revenue, impacting millions of users daily.

The role involves building and optimizing machine learning systems for ad performance, collaborating with teams to enhance targeting and revenue. Responsibilities include developing algorithms, conducting experiments, and improving infrastructure for scalable ad decisioning.

As an AI/ML Engineer, you will design, train, and deploy machine learning models, implement MLOps best practices, and collaborate with cross-functional teams to integrate AI capabilities into products.

The Machine Learning Engineer will build and scale ML models, collaborate with cross-functional teams, and improve real-time recommendations for Stitch Fix's clients.

As a Machine Learning Engineer, you will enhance ML algorithms, write production-level code, and collaborate within a distributed engineering team to optimize TV advertising technologies.

As an Associate Machine Learning Engineer, you'll apply foundational AI concepts in a production setting, contributing to model assessments, automated training processes, and collaborative development in a fast-paced Agile environment.

The Applied Scientist will integrate LLMs into production systems, develop NLP and CV models, and lead AI initiatives for wealth.com.

Implement and optimize machine learning features for 3D models, collaborating with research and engineering teams and ensuring reliable deployment processes.

The Software Engineer will develop machine learning infrastructure, optimize models, and create tools for data analysis while collaborating with a diverse team.

Design and implement backend ML systems for personalized feeds at Reddit. Mentor teams, drive technical discussions, and improve MLOps tools.

Develop and support ML infrastructure for large-scale scientific workflows, improve automation processes, and contribute to product features in AI-enabled drug discovery.

Lead the design and development of machine learning infrastructure for robotics, defining strategies, collaborating with teams, and ensuring best practices in MLOps.