Senior Machine Learning Engineer

Intuit Credit Karma is a mission-driven company focused on championing financial progress for our more than 140 million members globally. While were 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 1700 employees across our offices in Oakland Charlotte Culver City San Diego London Bangalore and New York City.

*Banking services provided by MVB Bank Inc. Member FDIC

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 Karmas 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.

What youll do

• Training Platform : 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.
• ML Features Platform: Design build and maintain our feature engineering and feature stores services supporting batch and streaming features - built on Vertex featurestore Chronon Databricks Tecton.
• Training Data: Design and build out capabilities supporting training data pipelines and centralized modeling data stores. Integrate labelbox snorkel and Intuits GenAI and human-backed AI labeling platform.
• Technical Support & Collaboration: 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.
• Production Deployment and Monitoring: 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.
• Innovation & Mentorship: 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.

Whats great about the role

• Impact at Scale: You will be at the forefront of providing machine learning capabilities that directly influence the financial journeys of millions of Credit Karma members.
• Strategic Influence: 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.
• Technical Growth: 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.

Minimum basic requirements

• MS in Computer Science Mathematics Statistics Machine Learning or a related quantitative discipline
• 7 years of industry experience in Machine Learning Data Science and related areas ideally in hyper-growth consumer Internet scenarios
• Deep understanding and ability to architect and develop next-generation ML systems staying ahead of industry trends and integrating latest advancements (e.g. GenAI)
• Strong background in programming languages (e.g. Python Java SQL)
• Experience with deep learning frameworks (e.g. Tensorflow PyTorch)

Preferred qualifications

• MLOps & Infrastructure: Experience with managing a large-scale platform that services many hundreds of auto-refreshing machine learning models deploying into production with no human-in-the-loop.
• Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and drive organizational alignment.
• Distributed Processing: Experience with high-volume data processing and frameworks like Spark Dataflow Dask Ray.
• Deep Learning: Extensive Experience with deep learning frameworks such as Tensorflow or PyTorch.
• Google Cloud: Experience with managing platforms backed by Google Cloud ML and AI services.

Benefits include

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation Sick Baby Bonding Cultural Observance & More)
• Education Perks
• Paid Gift Week in December

Equal Employment Opportunity:

Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race color religion age marital status sex (including pregnancy childbirth or related medical condition) sexual orientation gender identity or gender expression national origin veteran or military status disability (physical or mental) genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws.

Credit Karma is also committed to a diverse and inclusive work environment because it is the right thing to do. We believe that such an environment advances long-term professional growth creates a robust business and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. Weve worked hard to build an intensely collaborative and creative environment a diverse and inclusive employee culture and the opportunity for professional growth. As part of the Credit Karma team your voice will be heard your contributions will matter and your unique background and experiences will be celebrated.

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