Machine Learning Engineer

We are seeking a talented and innovative Machine Learning Engineer to join our team of AI/ML engineers. This role focuses on developing, maintaining, and enhancing machine learning models. The ideal candidate will have strong experience in computer vision, deep learning, and deploying ML models in containerized environments.

POSITION LOCATION:

This position is eligible for a hybrid schedule based out of Deerfield, IL. Effective fall 2025, Fortune Brands will transition to a new world-class campus in Deerfield, bringing together associates from across our U.S. offices, brands, and functions. The campus will offer vibrant workspaces for collaboration, along with amenities for dining, onsite daycare, fitness and recreation. 

What you will be doing

• Develop and enhance TensorFlow-based image classification models.
• Design and implement training pipelines for model iteration and improvement.
• Analyze model performance and implement techniques to improve accuracy and reduce false positives.
• Maintain and optimize existing ML inference services deployed in Kubernetes.
• Collaborate with Engineers to ensure seamless integration between machine learning components and API services.
• Monitor model performance in production and implement strategies to handle data drift.
• Work with labeled datasets from the review interface to improve model quality.
• Develop data preprocessing pipelines for image normalization and augmentation.
• Implement feedback loops utilizing corrections from subject matter experts and metrics.
• Research state-of-the-art computer vision techniques applicable to image recognition.
• Evaluate new approaches for improving identification accuracy and processing efficiency.
• Prototype and implement new features leveraging machine learning capabilities.
• Work with full-stack engineers to integrate ML components into the broader application.
• Partner with subject matter experts to understand domain-specific challenges.
• Document ML approaches, model versions, and performance metrics.