Top Machine Learning Engineer Jobs

The AI Solutions Architect develops ML solutions, integrates them into systems, collaborates with stakeholders, and reviews code while maintaining technical architecture.

Lead Machine Learning Engineer responsible for designing and maintaining AI platforms, collaborating with teams, and ensuring best practices in AI/ML technologies and cloud infrastructure.

As a Machine Learning Subject Matter Expert, analyze ML systems, validate claims, evaluate model performance, and collaborate with teams to report findings.

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

Distinguished Data Engineer responsible for AI systems, technical leadership, strategic vision, mentoring, and driving engineering excellence within Capital One.

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.

Design, develop, and deploy AI applications, build ML pipelines, optimize models, and collaborate with teams to transform geospatial data into actionable insights.

Develop and test deep learning and traditional ML models, create ML pipelines, analyze data, and communicate results with stakeholders.

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