Senior Analyst, Software Engineering

Requisition ID: 70888About Whirlpool CorporationWhirlpool Corporation (NYSE: WHR) is a leading home appliance company, in constant pursuit of improving life at home. As theonly 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 ofThe 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 SummaryThe 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 IncludeDesign and implement scalable ETL and data preprocessing pipelines to handle large volumes of time-series, image, and sensor data from a range of sourcesEnsure data quality, integrity, and availability for model training and validationDevelop strategies for data augmentation, normalization, and feature engineeringTrain, fine-tune, and rigorously evaluate a wide range of deep learning modelsDefine and track key performance metrics (e.g. accuracy, MAE, F1) and relevant business-level KPIsAdopt version control for data, code, and models to maintain reproducibility and traceability of experimental resultsClearly and effectively communicate technical details and limitations, experimental results, and strategic recommendations to a diverse audience, including marketing stakeholders, partnering engineers, and senior leadersCollaborate with cross-functional teams, including hardware, firmware, and cloud services, to ensure successful model integration and deploymentMinimum RequirementsBachelor's degree in computer science, engineering, statistics, physics, or a related technical field5+ years software development experience (Python, Java, C++, etc), including contributions to large codebasesProficiency with one or more deep learning frameworks, such as TensorFlow, PyTorch, or JAXStrong understanding of machine learning principles, algorithms, and best practicesExperience with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure)Preferred Skills And ExperiencesMaster's or greater in computer science, machine learning, artificial intelligence, data science, or a related fieldProven experience building and maintaining scalable MLOps pipelines.Experience working with IoT device data or embedded systemsFamiliarity with containerization and orchestration technologies like Docker and Kubernetes.oral traits in this section.Connect with us and learn more about Whirlpool CorporationSee 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.