Senior Machine Learning Engineer

<div class="content-intro"><p>Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.</p> <p>*Banking services provided by MVB Bank, Inc., Member FDIC</p></div><p>Credit Karma is looking for a results-oriented and skilled Machine Learning Engineer to join our team, focusing on building and deploying the infrastructure, services, and SDKs enablingCredit Karma’s Data Science teams to prototype, deploy, score, and monitor predictive models at scale. The ideal candidate will have expertise in MLOps, big data technologies, software development, data engineering, deep learning ML frameworks, and is driven to stay current with the fast moving ML AI landscape and integrate innovations into our platforms.</p> <p><strong>What you'll do</strong></p> <ul> <li><strong>Training Platform </strong>: Design, build, and maintain our Next Generation federated ML Platform - built on Vertex AI and Kubernetes. Contribute to our python SDK, which enables Data Scientists to efficiently develop, define, and deploy no-human-in-the-loop auto-refreshing deep learning and tree-based ML Models. </li> <li><strong>ML Features Platform: </strong>Design, build, and maintain our feature engineering and feature stores services supporting batch and streaming features - built on Vertex featurestore, Chronon, Databricks Tecton. </li> <li><strong>Training Data: </strong>Design and build out capabilities supporting training data pipelines and centralized modeling data stores. Integrate labelbox, snorkel, and Intuit’s GenAI and human-backed AI labeling platform. </li> <li><strong>Technical Support Collaboration</strong>: Provide technical support for owned products, including performing on-call duties, resolving production site issues, and improving the performance and scalability of services. Collaborate with cross-functional stakeholders to identify high-impact opportunities, translate business and analytical requirements, develop project plans, and report business value.</li> <li><strong>Production Deployment and Monitoring</strong>: Platform-level monitoring for features, training data, training, and offline batch scoring. Provide utilities and capabilities to enable Data Scientists to do pipeline-level monitoring for training and scoring. </li> <li><strong>Innovation Mentorship</strong>: Stay current on innovation trends and propose solutions that integrate those back into our platform. Support mentor other members of our team on current trends, best practices, and their projects.</li> </ul> <p><strong>What's great about the role</strong></p> <ul> <li><strong>Impact at Scale</strong>: You will be at the forefront of providing machine learning capabilities that directly influence the financial journeys of millions of Credit Karma members.</li> <li><strong>Strategic Influence</strong>: This is an end-to-end role that offers significant ownership, from initial exploration and capability design to final production deployment and monitoring of high-scale ML services.</li> <li><strong>Technical Growth</strong>: You will work with a modern, completely cloud-based stack (Google Cloud) and collaborate closely with product and data science teams to solve complex, high-value business challenges.</li> </ul> <p><strong>Minimum basic requirements</strong></p> <ul> <li>MS in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative discipline</li> <li>7+ years of industry e ... (truncated, view full listing at source)