[Remote] 2026 University Graduate - Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Adobe is a company focused on changing the world through digital experiences, empowering users to create exceptional content. They are seeking a Machine Learning Engineer to work on developing scalable generative AI systems and optimizing machine learning workflows for Adobe products.

Responsibilities

• Core 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 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

Skills

• PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required
• 0-2+ years of experience in specific skill/field(s)
• 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

Benefits

• Long-term incentives in the form of a new hire equity award

Company Overview

Company H1B Sponsorship