Top Hybrid Machine Learning Engineer Jobs

As a Staff Machine Learning Engineer, you'll lead the Content Ranking team in enhancing machine learning models for video recommendations, ensuring scalability, performance, and technical direction across teams.

Lead a team to build large-scale machine learning indexing and ranking systems while collaborating with product teams and enhancing team performance.

As a Machine Learning Engineer, you'll build and deploy models for core products, apply ML techniques to solve problems, and collaborate on features.

Join Chewy's Sponsored Ads team as a Machine Learning Engineer Intern, applying advanced ML and deep learning techniques to improve advertising solutions. You'll work on model performance, deploy algorithms, and collaborate with leadership to enhance customer engagement and optimize campaigns.

Assist in developing models and algorithms to solve complex business problems, analyzing datasets, and supporting decision-making initiatives.

As a Senior Research Scientist, you will develop and deploy machine learning models, focusing on pricing systems and integrating structured and unstructured data to improve decision-making.

The ML Pricing Engineer will lead the development of AI-powered pricing platforms, focusing on scalable data infrastructure, feature engineering, and seamless ML integration, while collaborating with cross-functional teams.

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

As an AI/ML Engineer Intern, contribute to the design, development, and deployment of AI/ML models, collaborate with teams, and optimize algorithms for business applications.

Analyze malware and detection tickets to improve detection capabilities. Collaborate with internal teams on threat detection inquiries and perform tasks to manage false positives.

As a Machine Learning Platform Engineer, you will partner with teams to establish data science environments, oversee analytic solutions, and lead complex projects while enhancing collaboration between technology and data science teams.

Assist in developing and deploying AI and ML features, collaborate with engineering teams, and align AI initiatives with the product vision.

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

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.