Top Machine Learning Jobs

The Senior Staff Machine Learning Engineer will lead the Fraud Risk Modeling team by architecting scalable ML systems, driving innovation, and collaborating with cross-functional teams to enhance fraud detection capabilities.

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.

The role involves designing and developing scalable AI/ML systems, evaluating model performance, and collaborating with various stakeholders to accelerate drug discovery.

Lead the strategy and development of state-of-the-art end-to-end autonomous driving research, optimizing ML models and collaborating across teams to influence technical decisions.

The role focuses on machine learning, especially in video and image embedding, and improving user features using ML recommendations. Requires expertise in GCP and video production metrics.

The role involves building and deploying ML models to enhance safety on PlayStation. Responsibilities include designing, coding, and evaluating large-scale ML systems, while collaborating across teams on various ML technologies.

Design and optimize large-scale retrieval and recommendation systems using machine learning to enhance personalized learning experiences for Quizlet users. Collaborate with cross-functional teams to ensure responsible and effective modeling practices.

Lead the technical strategy for machine learning modeling, manage production models, mentor ML experts, and enhance ML infrastructure.

The role involves developing ML-driven infrastructure for complex physics simulations, enabling autonomous agent behaviors and integrations with large-scale computational systems.

The Applied Scientist AI/ML Intern will work on building data pipelines, finetuning LLMs, and deploying AI models in a collaborative team environment.

Develop and deploy machine learning models for healthcare, collaborate on data pipelines, improve performance, and mentor juniors.

Develop and manage Machine Learning systems, produce high-quality code, design scalable infrastructure, and automate workflows in collaboration with cross-functional teams.

Responsible for developing production-grade machine learning systems, managing end-to-end ML pipelines, and collaborating on integration with applications.

The Principal Machine Learning Engineer will build and maintain end-to-end ML systems, fine-tune models, and manage production deployments, ensuring robustness and efficiency.

The role involves designing, training, and validating machine learning models for semantic mapping in autonomous vehicles, while collaborating with validation teams and ensuring coding best practices.

The AI/ML Engineer develops and supports data pipelines, integrates model production, conducts data analysis, and aids in business process evaluation. Responsible for monitoring models and participating in special projects.

As a Senior Machine Learning Engineer, you will develop high-performance services, innovate AI/ML applications, design algorithms, and collaborate closely with teams to optimize ad systems.

Lead the development of advanced machine learning models and systems at PayPal, optimizing for performance and real-time decisioning. Collaborate with teams for integration and monitor deployed models.

The Machine Learning Engineer will build and maintain ML infrastructure for the US Insurance AI team, collaborating with Data Scientists and AI Engineers to optimize existing systems and support rapid deployment of production-ready models.

Machine Learning Engineers will apply machine learning techniques to enhance products and services by developing, implementing, and optimizing machine learning models in collaboration with cross-functional teams.

The Sr. Machine Learning Engineer designs and deploys scalable AI solutions on cloud platforms, collaborating on MLOps pipelines and ensuring production reliability and security.

Design and implement machine learning systems, collaborate with teams, write efficient code, and manage end-to-end machine learning solutions.

As a Machine Learning Engineering intern at Spotify, you'll experiment with AI tools, prototype ideas, and collaborate in a dynamic environment while gaining hands-on experience.

The Senior Machine Learning Engineer will design, build, and deploy ML solutions, focusing on payments while collaborating with diverse teams to enhance financial applications.

Design and deploy AI-powered solutions using ML techniques. Collaborate with teams to develop models and optimize architectural decisions.