<p><a href="https://himalayas.app/companies/dayforce">Dayforce</a> is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.</p><p>Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.</p><p>Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.</p><p>This posting represents an ongoing opportunity within our organization. While there may not be an active vacancy at this time, we encourage interested candidates to apply. Applications will be reviewed periodically and retained for future openings.</p><p>About the opportunity We are seeking an experienced and talented Senior Machine Learning Engineer to join our ML team. As a Senior Machine Learning Engineer, you will work on delivering ML components for innovative products such as <a href="https://himalayas.app/companies/dayforce">Dayforce</a> AI Assistant and <a href="https://himalayas.app/companies/dayforce">Dayforce</a> Agents. This role involves rapidly designing, implementing, evaluating, and maintaining machine learning models, algorithms, APIs, and software systems in a fast succeed/fast fail environment.</p><p>You will contribute both as a hands-on engineer and as a technical leader, helping guide solutions from prototype through production while ensuring performance, scalability, reliability, and maintainability.</p><h3>What you'll get to do</h3><ul><li>Design, develop, and implement machine learning models, algorithms, and API services that meet business needs and requirements.</li><li>Develop full-stack solutions including frontend, middle-tier, and backend components using technologies such as React, Python, SQL, Delta Tables, GraphQL, and PySpark.</li><li>Apply machine learning techniques to large datasets to identify trends, patterns, and actionable insights.</li><li>Collaborate with cross-functional teams including software developers, data scientists, data engineers, and domain experts to prototype and productionize AI-driven solutions.</li><li>Prepare, clean, and preprocess large-scale datasets to ensure high data quality and suitability for training ML models.</li><li>Evaluate and optimize machine learning models for accuracy, efficiency, scalability, and bias mitigation.</li><li>Identify and analyze potential biases in datasets, features, and model predictions, implementing fairness and mitigation strategies where appropriate.</li><li>Manage end-to-end machine learning pipelines, from data preprocessing and feature engineering through training, deployment, monitoring, and continuous improvement.</li><li>Deploy and integrate machine learning models into production environments and implement monitoring systems for u