Top Artificial Intelligence Machine Learning Engineer Jobs

Build and deploy AI/ML models for various asset categories, design workflows, and quickly prototype solutions using customer data.

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.

The Senior Machine Learning Engineer will develop foundational models for recommendations, mentor engineers, and collaborate on improving user experiences with machine learning.

Lead a team of engineers to enhance AI-powered search relevance through machine learning. Oversee model development, project management, and team growth while collaborating across departments.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

The Principal Machine Learning Engineer will develop ML algorithms and optimize performance on ARM computing platforms, collaborating across hardware, software, and ML algorithms, while focusing on performance, power, and area.

The Senior Applied AI Engineer will build multimodal systems, implement streaming pipelines, and mentor team members, focusing on AI and data integration.

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

As an Applied AI Engineer, you will develop ML solutions for clients, optimize AI models, and collaborate with teams to meet business needs.