Top Hybrid Machine Learning Engineer Jobs

Lead the development and deployment of machine learning solutions, mentoring engineers, driving revenue growth through AI-driven insights, and collaborating cross-functionally.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.

The role involves developing machine learning models to minimize fraud losses, conducting analysis, and collaborating across business units to improve data-driven modeling solutions.

Lead AI/ML initiatives, develop machine learning models, collaborate with cross-functional teams, and deploy solutions in production. Requires strong expertise in AI/ML methodologies.

The role involves developing and implementing machine learning models to combat account takeover fraud, collaborating with a cross-functional team, and leveraging large data sets.

Lead the development of AI-powered systems at Capital One, collaborating with cross-functional teams to deliver innovative machine learning solutions and optimize data pipelines.

The Senior Lead AI Engineer will develop, optimize, and support AI products, collaborating with teams to implement machine learning solutions transforming customer interactions at Capital One.

The Senior Software Engineer, Machine Learning will develop, deploy, and maintain production-ready ML solutions, collaborating with data scientists and business stakeholders to ensure alignment with company goals.

As a Senior Staff Machine Learning Engineer, you'll develop AI/ML solutions, collaborate cross-functionally, and enhance customer experience through conversational AI and data processing.

Lead end-to-end machine learning solutions for autonomous driving, mentor engineers, design advanced models, and ensure safety and reliability in diverse scenarios.

Lead a team in developing and optimizing a personalized video recommendation engine, focusing on machine learning infrastructure and A/B testing. Ensure system architecture scalability, performance, and reliability.

The Sr. Software Engineer will focus on machine learning techniques for monetization, developing algorithms, optimizing promotions, and improving prediction models while collaborating with diverse teams.