Top Data & Analytics Jobs

As a Senior Machine Learning Engineer, you will design and build proprietary machine learning models to enhance user targeting and dynamic Ads content generation, leveraging advanced AI techniques. Collaborating with cross-functional teams, you will contribute to the productionization of models, maintain code quality, and mentor team members in a fast-paced environment.

As a Senior Machine Learning Engineer, you will collaborate with product managers and engineers to design and productionize machine learning models. Responsibilities include building data processing pipelines, improving model performance, conducting experiments, and maintaining code quality with tests. You will stay updated on emerging technologies and share knowledge through presentations.

The Principal Applied Scientist/Machine Learning Engineer will develop and implement machine learning models to solve business problems, design scalable ML pipelines, and lead applied ML research. Responsibilities include enhancing models and collaborating with product and engineering teams to turn business needs into practical ML solutions.

As a Senior Machine Learning Engineer, you will collaborate with engineers and product teams to design and implement machine learning models, ensuring high-quality code and addressing business challenges through innovative solutions. Responsibilities include developing data pipelines and tracking emerging technologies.

The Principal Applied Scientist/Machine Learning Engineer at Rokt will design, develop, and deploy advanced machine learning models to tackle complex business challenges, optimizing relevancy and user experience in the ecommerce sector. This role requires hands-on expertise in machine learning and collaboration with engineering and product teams.