Senior Staff AI/MLE Scientist

What you'll do

• Own and manage the end-to-end ML stack including feature pipelines, model training, and deployment.
• Set technical standards for production ML systems to ensure quality and reliability across the organization.
• Train, deploy, and maintain batch models that drive business value in areas like targeting and personalization.
• Evolve shared infrastructure to improve reliability and efficiency for downstream modelers within the company.
• Mentor other data scientists on best practices for modeling, code quality, and production readiness.
• Identify high-leverage modeling opportunities and work with leadership to scope and implement them.

What we're looking for

• At least 7 years of experience building and deploying production machine learning systems.
• Expertise in batch ML model development with a track record of measurable business impact.
• Strong software engineering skills, including contributions to shared ML libraries and feature stores.
• Hands-on experience training and deploying models on modern platforms like Databricks and PyTorch.
• Ability to navigate ambiguity and deliver results that significantly impact the business.
• Excellent communication skills for working with both technical and non-technical partners.