Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates are expected to possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have at least four years of experience in developing and deploying machine learning models. Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow or PyTorch are required, along with a solid understanding of statistical modeling and data analysis techniques.
As a Machine Learning Engineer 4 at Adobe, you will be responsible for designing, developing, and deploying machine learning models to enhance Adobe’s products and services. This includes collaborating with cross-functional teams, conducting research on new machine learning techniques, and ensuring the scalability and reliability of deployed models. You will also contribute to the development of machine learning infrastructure and best practices, and provide technical guidance to junior engineers.
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.