Adobe is looking to optimize the experience of its Document Cloud customers by building products that transform how companies approach audience creation, journey optimization, and personalization at scale.
Requirements
- Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods.
- Experience in building large-scale data pipelines.
- Proficiency in one or more programming languages such as Python, Scala, Java, or SQL.
- Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch.
Responsibilities
- Develop innovative models in collaboration with Adobe Research.
- Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making.
- Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows.
- Engage in the product lifecycle, including architecture, design, deployment, and production operations.
- Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches.
Other
- MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field.
- Ability to quickly learn new skills and work in a fast-paced team.
- Experience working with both research and product teams.
- Excellent problem-solving and analytical skills.
- Excellent communication and relationship-building skills.
