Senior Machine Learning Engineer

About the role

The Crown Is Yours As a Senior Machine Learning Engineer, you’ll design, build, and maintain ETL and feature engineering pipelines that power risk and payment applications.

Responsibilities

• Develop production ML systems, from training and evaluation through deployment and monitoring.
• Partner with data scientists to productionize models that integrate into DK’s decisioning systems.
• Build reliable, well-tested data workflows — from SQL-based feature transformations through model training and deployment.
• Establish observability and monitoring for data quality, model drift, and service reliability.
• Participate in code reviews, design discussions, and incident response, helping to maintain strong engineering practices.
• Mentor junior engineers and contribute to shared tooling, documentation, and process improvements across the DS organization.
• Support on-call rotations and post-incident reviews to ensure continuous system improvement.

Requirements

• 3+ years of experience writing production Python applications and working with structured data (SQL and data modeling).
• Strong software engineering fundamentals — object-oriented design, testing, and version control.
• Familiarity with ML Ops frameworks such as model registry, orchestrations, and feature stores.
• Experience building or maintaining data and feature pipelines in a data-heavy environment.
• Understanding of the ML lifecycle, including feature engineering, training, and model serving.
• Ability to debug production issues across data, model, and infrastructure layers.
• Strong collaboration and communication skills; able to translate technical solutions into operational outcomes.

Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, or a related technical field (Master’s preferred).

Skills

• Production Python applications
• Data modeling
• ML Ops frameworks
• Data and feature pipelines
• ML lifecycle
• Debugging production issues
• Collaboration and communication

Benefits

• Base salary range: $134,400.00 USD - $168,000.00 USD
• Plus bonus, equity, and benefits as applicable

Pay

• US base salary range for this full-time position is $134,400.00 USD - $168,000.00 USD, plus bonus, equity, and benefits as applicable.

Schedule

• Full-time