Senior Analyst, Software Engineering

Requisition ID:

70888 About Whirlpool Corporation Whirlpool Corporation (

NYSE:

WHR) is a leading home appliance company, in constant pursuit of improving life at home. As the only major U.S

• based manufacturer of kitchen and laundry appliances, the company is driving meaningful innovation to meet the evolving needs of consumers through its iconic brand portfolio, including Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2024, the company reported approximately $17 billion in annual sales
• close to 90% of which were in the Americas
• 44,000 employees, and 40 manufacturing and technology research centers.

Additional information about the company can be found at WhirlpoolCorp.com. ## The team you will be a part of The Software Engineering team designs, develops or coordinates development/troubleshooting or debugging of moderately complex software programs for enhancements and new products. Performs high-level design/modeling to convert stakeholder needs into software solutions. Develops software and tools in support of design, infrastructure and technology platforms. Determines hardware compatibility and/or influences hardware design. Develops the architectural guidelines, specifications, and technical standards and communicates to stakeholders. ## This role in summary The engineer will combine software engineering fundamentals with advanced machine learning techniques to build complex technical solutions for home appliances. The position requires execution across the machine learning lifecycle, from problem statement development, through data sourcing and cleaning, model training and compression, deployment, and field monitoring. ## Your responsibilities will include

• Design and implement scalable ETL and data preprocessing pipelines to handle large volumes of time-series, image, and sensor data from a range of sources
• Ensure data quality, integrity, and availability for model training and validation
• Develop strategies for data augmentation, normalization, and feature engineering
• Train, fine-tune, and rigorously evaluate a wide range of deep learning models
• Define and track key performance metrics (e.g. accuracy, MAE, F1) and relevant business-level KPIs
• Adopt version control for data, code, and models to maintain reproducibility and traceability of experimental results
• Clearly and effectively communicate technical details and limitations, experimental results, and strategic recommendations to a diverse audience, including marketing stakeholders, partnering engineers, and senior leaders
• Collaborate with cross-functional teams, including hardware, firmware, and cloud services, to ensure successful model integration and deployment ## Minimum requirements
• Bachelor's degree in computer science, engineering, statistics, physics, or a related technical field
• 5+ years software development experience (Python, Java, C++, etc), including contributions to large codebases
• Proficiency with one or more deep learning frameworks, such as TensorFlow, PyTorch, or JAX
• Strong understanding of machine learning principles, algorithms, and best practices
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) ## Preferred skills and experiences
• Master's or greater in computer science, machine learning, artificial intelligence, data science, or a related field
• Proven experience building and maintaining scalable MLOps pipelines.
• Experience working with IoT device data or embedded systems
• Familiarity with containerization and orchestration technologies like Docker and Kubernetes.

oral traits in this section. Connect with us and learn more about Whirlpool Corporation See what it's like to work at Whirlpool by visiting Whirlpool Careers. Additional information about the company can be found on Facebook, Twitter, LinkedIn, Instagram and YouTube. Whirlpool Corporation is committed to equal employment opportunity and prohibits any discrimination on the basis of race or ethnicity, religion, sex, pregnancy, gender expression or identity, sexual orientation, age, physical or mental disability, veteran status, or any other category protected by applicable law.