Top Machine Learning Jobs

Lead the design, development, and implementation of machine learning applications. Collaborate with teams to solve business problems using ML technologies and ensure high availability of ML systems.

Develop machine learning models to prevent risky or abusive activities in financial transactions, ensuring a secure user experience for families using Cash App.

The role involves leading a team of ML engineers to develop AI models for real-time communication, overseeing end-to-end ML development, and fostering an innovative team culture.

Lead a team of ML engineers to develop AI models for speech technologies, ensuring performance and scalability while fostering a collaborative team culture.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

Drive the strategic vision for machine learning initiatives, lead development of ML models, oversee data analysis, deploy ML solutions, and mentor junior staff.

Design and implement AI/ML models to analyze geospatial data for defense applications, enhancing predictive intelligence and operational strategies.

The Senior Engineer in Machine Learning will develop algorithms using machine learning techniques on biomedical datasets, prototype solutions, and collaborate with teams to ensure data quality and performance measures.

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.

Develop advanced ML models for an advertising platform, focusing on performance and scalability. Lead technical strategy and collaboration across teams to enhance campaign automation and optimization.

The Principal AI/ML Engineer will lead the design and implementation of machine learning solutions in AdTech, focusing on campaign optimization and user personalization while also mentoring other engineers.

The role involves advanced data analysis, designing data solutions, developing machine learning models, collaborating across teams, and providing strategic insights to improve business decisions.

As an Edge Compute Associate, you'll work under mentorship to develop edge computing solutions for satellites, collaborating on machine learning implementations.

The Head of Venmo AI Personalization will define and drive the strategic vision for machine learning at Venmo, overseeing model development and optimizing user personalization and ranking systems while mentoring a world-class team.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As a Machine Learning Researcher, you will train and optimize neural networks, build infrastructure for training, and advise on hardware architecture.

As an AI/ML Engineer Intern, you will apply AI to enhance restaurant discovery experiences by analyzing data, building models, and collaborating with teams.

The Machine Learning Research Engineer role involves optimizing ML models, handling data acquisition, and ensuring production readiness using Python and cloud services.

Lead the design and deployment of ML systems while mentoring junior engineers. Collaborate with teams to ensure technical solutions align with business goals, conducting experiments to improve outcomes.

As a Machine Learning Engineer at Ello, you'll develop an AI tutor by owning end-to-end projects, collaborating with experts, and utilizing cutting-edge machine learning techniques to enhance children's education.

Lead a team of ML engineers to develop advanced personalization systems, ensuring technical excellence, system reliability, and effective project delivery while mentoring engineers.

As a Senior Machine Learning Engineer, you will develop and deploy advanced ML models, collaborate with teams, and enhance AI integration for product features.

Design and implement ML models and systems for the Highlight AI desktop assistant, collaborating with cross-functional teams to integrate AI features into the product.

Design and build scalable machine learning systems, mentor ML engineers, and collaborate with internal teams to enhance the ML platform.

The role involves building fraud prediction models using machine learning techniques, collaborating with cross-functional teams, ensuring data integrity, and driving a data-driven culture.