2026 University Graduate - Machine Learning Engineer

OverviewAdobe Firefly's Generative AI Services team is seeking a Machine Learning Engineer for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems powering features across Adobe products. You will design and develop inference pipelines, optimize models for latency and throughput at inference, and build APIs and ecosystems that integrate both Adobe's first-party and third-party generative models into Adobe's suite of products serving individual and enterprise customers.You will tackle Adobe's most complex engineering challenges at the forefront of the industry and help set technical direction while collaborating with other ML engineers. You will work on research and development projects such as attribution, media mix modeling, budget optimization, personalization, causal analysis, and time series analysis using statistical and econometric methods, predictive models, and optimization techniques.Ideal candidates will have a strong academic background and technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques is a plus.What You'll DoCore GenAI Services Development: Design and develop APIs and services that integrate a wide range of generative models into Adobe\'s flagship products, ensuring seamless user experiences.ML Pipeline Optimization: Build and optimize GPU-accelerated pipelines for model training and inference, prioritizing performance, scalability, and reliability across enterprise-scale deployments.Model Integration & Productization: Collaborate with Adobe Research and model developer teams to implement inference strategies and productionize modern generative models.Enterprise-Scale Systems: Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration that handle massive user loads.Technical Excellence: 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 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.What You Need to SucceedPhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required0-2+ years of experience in related field(s)Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methodsProficient in one or more programming languages such as Python, Scala, Java and CFamiliar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit-learnKnowledge and experience of working with relational databases and SQLStrong analytical and quantitative problem-solving abilityOutstanding communication and collaboration skillsAdobe 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 protected characteristic by law.We strive to create an accessible experience for all users. If you require accommodations to navigate our website or complete the application process, please contact us. #J-18808-Ljbffr