Intuit Inc

Senior Machine Learning Engineer- Credit Karma

Intuit Inc$171K — $231K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MS in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative discipline
  • 7+ years of industry experience in Machine Learning, Data Science, ideally in hyper-growth consumer Internet environments
  • In-depth knowledge in architecting advanced ML systems and integrating state-of-the-art technologies like GenAI
  • Proficient in programming languages such as Python, Java, and SQL
  • Experience using deep learning frameworks including Tensorflow and PyTorch

Responsibilities

  • Design, build, and maintain a Next Generation federated ML Platform using Vertex AI and Kubernetes
  • Create and manage feature engineering and feature stores for batch and streaming data
  • Develop capabilities for training data pipelines and centralized training datasets
  • Provide technical support for product issues and collaborate with teams to achieve high-impact solutions
  • Monitor platform-level metrics for features and manage data science training processes
  • Stay updated on ML innovations and mentor team members on best practices

Benefits

  • Eligibility for cash bonuses and equity rewards
  • Comprehensive benefits package
  • Strong emphasis on pay-for-performance rewards
  • Regular pay equity assessments for fairness across demographics
Full Job Description
Intuit Credit Karma is looking for a results-oriented and skilled Senior Machine Learning Engineer to join

our team, focusing on building and deploying the infrastructure, services, and SDKs enabling

Credit 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.

Responsibilities
  • 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 training datasetsm. Integrate labelbox, snorkel, and Intuit's 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.


Qualifications
  • 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.

Footer
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Oakland $171,000 - $231,500

About Intuit Inc

Intuit offers business and financial management solutions for SMBs, financial institutions, consumers, and accounting professionals. The company’s product portfolio includes TurboTax, a software solution that offers free tax filing, efile taxes, and income tax returns; Quicken; QuickBooks; Mint.com, and more. It also offers end-to-end solutions for online tax preparation, download products, mobile tax prep, mortgage interest and property tax, corporations tax, military tax, and more. Intuit was founded by Tom Proulx and Scott Cook in 1983 and is based in Mountain View, California. The company serves customers in North America, Asia, Europe, and Australia with offices in the United States, Canada, India, U.K., and Singapore.

Intuit Inc Careers

Join the dynamic team at Intuit Inc, a global powerhouse in financial software, where innovation, leadership, and diversity training are at the heart of everything we do. This is an unparalleled opportunity to advance your career with a company that is committed to empowering communities and small businesses with innovative financial solutions.

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At Intuit Inc, you’ll be part of a culture that cherishes innovation and values the unique perspectives of its team members. You will collaborate with some of the brightest minds in the industry, using your skills to influence the future of technology and finance. Our team at Intuit Inc is driven by the mission to power prosperity around the world, and you can be at the forefront of this transformation.

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Professional Development and Benefits

Invest in your future with Intuit’s industry-leading benefits and professional development opportunities. Our employees enjoy comprehensive benefits that ensure their personal and professional satisfaction, including health, wellness, and continuous learning perks. At Intuit, we also understand the importance of diversity training and leadership development, providing various programs that foster an inclusive environment.

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Embark on a journey of growth and innovation at Intuit Inc. Search open positions that match your skills and interests. We are looking for curious, creative, and solution-driven team players. Prepare your resume, ace the interview, and join a team that’s committed to creating solutions that power prosperity around the globe.

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Learn more about Intuit Inc
Size
13,500 employees
Market Cap
$107.4 billion
Industry
Net Income
$1.7 billion
Founded
1983
5 Year Trend
+19.6%
Revenue
$7.7 billion
NASDAQ

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