Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! OpportunityChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.We’re on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!The Express India engineering team is looking for a machine learning engineer to create unique experiences for the Express clients. We are seeking a Senior Machine Learning Engineer who excels not only in cutting-edge research but also in collaborative problem-solving with product managers and engineers. In this role, you will work closely with cross-functional teams to solve practical use cases and fine-tune technology to address customer needs.What you'll do:You will be responsible for helping us set the technical and research direction, making architectural decisions, and implementing complex systems.You will always drive for high product and engineering quality in our work.You will be responsible for evaluating, integrating, finetuning and building machine learning models into Express that will be deployed across multiple applications.You will work closely with teams across Adobe, in different geographies. The technology you produce will have visibility at the highest levels of the company and materially affect the positive impact products have on our customers. What you need to succeed:An advanced degree (PhD will be a plus) in machine learning, artificial intelligence, computer science, statistics, or equivalent experience is required.Experience in cutting-edge ML algorithms and architectures including Transformers, Diffusions, & GANs with Transfer learning and pre-trained models.Experience with machine learning frameworks (Pytorch, TensorFlow or Jax).Be able to evaluate, improve, or develop advanced machine learning algorithms for complex use cases.Strong analytical, mathematical modeling, and software skills and ability to work with multiple levels of abstraction.Hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures.Outstanding command of data structures and algorithms. Familiarity with deployment technologies such as Docker, Kubernetes, and Triton are a plus.Excellent verbal and written communication skills; can effectively articulate complex ideas and influence others through well-reasoned explanations.Above all, possess a keen inclination towards productizing technology, and an ability to work closely with engineering teams to bridge the gap from research to product development.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
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