Machine Learning Engineer 2

Our Company

Changing 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!

• Develop, and deploy scalable AI/ML models including Bayesian Optimization, Reinforcement Learning, forecasting, and predictive modeling to address complex business challenges.
• Own the end-to-end ML lifecycle: data preprocessing, feature engineering, model training, hyper-parameter tuning, deployment, and monitoring
• Work with large-scale datasets and complex codebases
• Build and optimize deep learning models employing PyTorch, TensorFlow, and other modern ML/DL frameworks
• Apply Large Language Models (LLMs) to solve client problems and integrate them into our internal tech stack
• Collaborate with multi-functional teams including data engineers, ML scientists, and product managers to integrate AI/ML solutions into existing systems and applications
• Conduct data analysis using SQL and other query languages to derive actionable insights and continuously improve model performance
• Stay current with the latest advancements in AI/ML research, deployment practices, and tooling, and recommend adoption of relevant innovations.

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• 3-6 years of hands-on experience in end-to-end AI/ML project development using Python and libraries such as PySpark, Pandas, NumPy.
• Strong foundations in classical machine learning algorithms and modern deep learning techniques.
• Proven experience with PyTorch, TensorFlow, and other ML/DL frameworks for building and deploying production-grade models.
• Solid understanding ofsoftware engineering principles (version control, testing, CI/CD) and ability to apply them to ML workflows.
• Experience with data engineering concepts, including ETL pipelines, data workflows, and distributed computing.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Structured thinking and strong communication skills, with the ability to collaborate effectively across cross-functional teams.
• A strong desire to learn, innovate, and deliver measurable business value through AI/ML solutions.

Adobe is proud to be anemployer. 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.

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, emailor call (408) 536-3015.