Senior Machine Learning Engineer, Platform

Job Description

PENN Entertainment is seeking a Senior Machine Learning Engineer to join their Machine Learning Platform team. This role focuses on building and scaling the infrastructure, tools, and frameworks that power the machine learning lifecycle. The Senior Machine Learning Engineer will collaborate with data scientists, ML engineers, and data engineers to design and implement robust, efficient, and production-grade systems that accelerate ML innovation across the company.

This is a hands-on engineering role that requires a strong understanding of machine learning systems and software development best practices.

Responsibilities include:

• Designing, building, and maintaining core components of the ML platform, including model serving infrastructure, feature stores, and monitoring systems.
• Developing and maintaining CI/CD pipelines for ML workflows to support reproducibility, scalability, and continuous delivery of models.
• Collaborating with ML engineers and data scientists to support model experimentation, packaging, and deployment in both batch and real-time contexts.
• Contributing to the development of best practices for MLOps, including versioning, lineage tracking, observability, and governance.
• Writing clean, testable, and well-documented code and contribute to team knowledge through documentation and design reviews.
• Partnering with data engineering and platform teams to ensure seamless integration with data pipelines and compute environments.

Requirements:

• 5+ years of experience in machine learning engineering, data engineering, or backend software engineering, with demonstrated experience building ML systems in production.
• Proficiency in Python and SQL.
• Deep familiarity with cloud platforms such as GCP, AWS, or Azure.
• Hands-on experience with ML model deployment, CI/CD pipelines, containerization (Docker, Kubernetes), and orchestration tools (Dagster, Airflow, Kubeflow, or similar).
• Experience with model packaging and serving technologies such as MLflow, Seldon, Vertex AI, or AWS SageMaker.
• Strong communication skills and a desire to work cross-functionally with data scientists, ML engineers, and platform teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

The company offers:

• Competitive compensation package
• Fun, relaxed work environment
• Education and conference reimbursements
• Parental leave top up
• Opportunities for career progression and mentoring others