Top Artificial Intelligence Machine Learning Engineer Jobs

The Senior Machine Learning Engineer will design, train, and evaluate ML models to solve complex problems, mentor others, and optimize production systems.

The role involves designing and scaling ML systems for prediction and recommendation, mentoring junior engineers, and leading projects.

Responsibilities include designing workflows, optimizing algorithms, developing Machine Learning solutions for EDA, and collaborating with cross-functional teams.

As an AI Intern, you will assist in building and training machine learning models, conduct research on AI trends, and collaborate with cross-functional teams.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Lead development and production deployment of advanced ML and time-series models for water and infrastructure systems, perform research in Physical AI, collaborate cross-functionally, communicate impact to stakeholders, and mentor junior data scientists.

As a Principal Machine Learning Engineer, you will architect AI solutions, collaborate with scientists, and optimize models for edge deployment. Your work enhances public safety applications.

This position involves designing algorithms, analyzing user data, optimizing workflows, and collaborating with cross-functional teams to enhance grocery product discovery and personalization at Uber.

Design and build machine learning algorithms to optimize e-commerce search and improve overall platform matching capabilities, supporting TikTok's rapid e-commerce development.

The role involves designing and implementing RL environments for AI labs, focusing on architecture, reward design, and collaboration with researchers to refine environment specifications and performance evaluation.

The ML Engineer will architect and build personalization and recommendation systems, design user preference algorithms, collaborate with teams, and improve systems from research to production.