About the job
Exciting opportunity for a Machine Learning Engineer to join Adobe Firefly’s Generative AI Services team. Design and optimize scalable generative AI systems, build APIs, and collaborate with top engineers to power innovative features across Adobe products. Ideal for recent PhDs or early-career ML grads eager to shape the future of AI at Adobe.
Responsibilities
Design and develop APIs and services that integrate a wide range of generative models into Adobe's flagship products, ensuring seamless user experiences.
Build and optimize GPU-accelerated pipelines for model training and inference, prioritizing performance, scalability, and reliability across enterprise-scale deployments.
Collaborate with Adobe Research and model developer teams to implement inference strategies and productionize modern generative models.
Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration that handle massive user loads.
Foster an atmosphere of creativity and technical expertise while addressing Adobe's groundbreaking engineering challenges.
Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques.
Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems
Collaborate with product management and engineering groups to develop new products and features.
Qualifications
Minimum
PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.
Proficient in one or more programming languages such as Python, Scala, Java and C
Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
Knowledge and experience of working with relational databases and SQL
Strong analytical and quantitative problem-solving ability.
Outstanding communication and relationship skills, and a great teammate.
Preferred
Familiarity with working with large-scale datasets and big data techniques would be a plus.