Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should ideally possess a PhD or Master’s degree in Computer Science, Data Science, Mathematics, or a related field, or equivalent work experience. A minimum of five years of industry-based development experience with Machine Learning related software development is required, along with experience utilizing technologies such as SageMaker, Jupyter Notebook, and TensorFlow.
The Machine Learning Engineer will collaborate closely with product and engineering managers to refine machine learning objectives, transform unstructured data into useful information through methods like auto-tagging, develop ML algorithms for analyzing large datasets to make predictions, design ML systems to support various recommendation engines, run tests and perform statistical analysis to interpret results, work with other engineers to build new Adobe creative cloud experiences with ML, implement new and redesign ML related features, document machine learning processes, and focus on user experience and intuitive application design.
Software solutions for content creation and marketing
Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.