Machine Learning Engineer

Company Description

Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too.

At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential.

When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength.

Explore life at Fortune Brands here.

Job Description

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.

Qualifications

Basic Qualifications:

• Master's or Bachelor's degree in Computer Science, Machine Learning, or related field.
• 3+ years of experience in developing and deploying machine learning models.
• Strong background in computer vision and image classification.
• Proficiency in Python and machine learning frameworks (TensorFlow required, ONNX or PyTorch a plus).
• Experience with containerized ML deployments (Docker, Kubernetes).
• Familiarity with REST APIs and microservices architectures.
• Knowledge of image processing techniques and computer vision algorithms.
• Understanding of ML model versioning, monitoring, and maintenance.

​​​​​​​Preferred Qualifications:

• Experience with image recognition or similar identification systems.
• Background in developing systems that incorporate human feedback for model improvement.
• Familiarity with SQL or similar databases for storing model outputs and metadata.
• Experience with CI/CD pipelines for ML model deployment.
• REACT development skills are a nice to have

Additional Information

Fortune Brands believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is Hiring Pay Range: $105,000 USD - $165,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based sales incentive plan.

At Fortune Brands, we support the overall health and wellness of our associates by offering comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company contribution, product discounts, flexible time off benefits, adoption benefits, and more. We offer numerous ERGs (Employee Resource Groups) to foster a sense of belonging for all associates.

Fortune Brands is built on industry-leading brands and innovation within the high-growth categories of water, outdoors and security. The Company makes innovative products for residential and commercial environments, with a growing focus on digital solutions and products that add luxury, contribute to safety and enhance sustainability. To learn more, visit our website at fbin.com.

Equal Employment Opportunity

Fortune Brands is an equal opportunity employer. Fortune Brands evaluates qualified applicants without regard to race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, protected veteran status, sexual orientation, genetic history or information, or any other legally protected characteristic.

Reasonable Accommodations

Fortune Brands is committed to working with and providing reasonable accommodations to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please contact us at fbinleave.fbhs@fbin.com and let us know the nature of your request along with your contact information.

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To protect yourself from fraudulent job postings or recruitment scams, please note that Fortune Brands job postings are exclusively hosted on our website at fbin.com/careers via our SmartRecruiters platform. Fortune Brands will never request banking information or sensitive personal details until an offer of employment has been accepted and the onboarding process begins.