Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position.
This information is not specified in the job description.
The role requires outstanding knowledge of machine learning frameworks like PyTorch, TensorFlow, and Scikit-learn, strong Python programming skills, and a solid understanding of core machine learning and statistics including Bayesian Modeling, Time Series Analysis, Reinforcement Learning, and Optimization.
Adobe is committed to creating an inclusive and equitable workplace where everyone is respected and has equal opportunities.
A strong candidate will have expertise in machine learning frameworks, strong Python skills, deep knowledge of statistics and ML concepts like Bayesian Modeling, Time Series Analysis, Reinforcement Learning, and Optimization, plus experience leading teams and deploying scalable solutions.
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.