Machine Learning Engineer - 3

The Adobe Advertising ML team is looking for an experienced Machine Learning Engineer to join our AI/ML engineering org. You will join a growing team of data scientists and engineers to help us build and maintain the next generation of predictive models, optimization algorithms and Agentic AI solutions. You will develop production ready features for our world-wide clients in a fast-paced environment.

Requirements

• Develop classifiers, predictive models and multi variate optimization algorithms on large-scale datasets using advanced statistical modeling, machine learning and data mining.
• Design, implement and operate scalable models that can work with large-scale datasets (100s billions of records) in production systems.
• Ability to articulate the design and implementation choices to cross functional teams
• R&D will revolve around a few key focus areas such as Agentic AI solutions, predictive models for conversion optimization, Reinforcement Learning, and Forecasting & Planning.
• Model Lifecycle Management: Manage model versioning, deployment strategies, rollback mechanisms, and A/B testing frameworks.
• Develop CI/CD and orchestration workflows using GitLab CI, GitHub Actions, CircleCI, Airflow, Argo Workflows, or similar tools.
• Review and optimize data science models, including code refactoring, containerization, deployment, versioning, and performance tuning.
• Implement model testing, validation, and automated QA pipelines, ensuring reproducibility and compliance.
• Monitor models in production, including data drift, concept drift, performance degradation, and system reliability.
• Collaborate multi-functionally with data scientists, data engineers, and architects; build documentation and improve team processes.
• Ensure governance, security, and compliance for ML pipelines (access controls, audit logs, model reproducibility, lineage).