Top Hybrid Machine Learning Engineer Jobs

The Principal Machine Learning Engineer will drive technical roadmaps, optimize video recommendation systems, lead technical initiatives, and collaborate on machine learning strategies with cross-functional teams, ensuring scalability and performance.

Lead a machine learning engineering team to develop ranking models. Manage project design, code reviews, collaborate with stakeholders, and ensure product scalability and quality.

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.

The role involves designing and implementing ML systems for pricing, managing data pipelines, and improving model performance and reliability. It requires collaboration with cross-functional teams and mentorship for engineers.

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.

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

The Principal Machine Learning Engineer will build AI/ML solutions, collaborate with engineers, ensure product security and compliance with AI regulations, and drive architectural decisions for enterprise services.

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.

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

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.

Lead and develop advanced machine learning models for autonomous driving, collaborating with teams, and driving technical initiatives in a hybrid work environment.

As a Technical Lead, you'll design, develop, and deploy advanced ML models for autonomous driving, leading projects from conception to implementation while mentoring engineers and shaping ML strategies.

The role focuses on developing data-driven models for optimizing catalyst materials via machine learning and quantum mechanical simulations, collaborating on catalysis research.

As a Machine Learning Engineer, you'll design and implement scalable ML systems, develop data pipelines, support model experimentation, and collaborate across teams to deliver impactful ML solutions.

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.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.