Intuit Inc

Staff Machine Learning Engineer, Consumer Risk AI

Intuit Inc • $202K — $274K *
Mountain View, CA 94040In-Person
Consumer Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Computer Science or related field, or equivalent experience
  • 8+ years of software engineering experience with a focus on ML systems and cross-team leadership
  • Strong fundamentals in algorithms, distributed systems, and system design, backed by ML principles
  • Proficient in Python and SQL; hands-on experience with Spark or Flink
  • Proven track record of managing data or ML platforms across teams, including post-launch operations
  • Experience deploying real-time models within strict latency constraints
  • Solid knowledge of cloud infrastructures, particularly AWS, and ownership of the environment and processes

Responsibilities

  • Own the technical vision and architecture for the consumer risk platform, balancing tradeoffs effectively
  • Design a multi-cloud infrastructure that facilitates data governance and integration
  • Build shared feature infrastructure that ensures model reliability and observability
  • Establish measurable evaluation frameworks for model quality and impact
  • Manage the deployment and integration of models to ensure sub-second decision-making
  • Set engineering standards for ML systems, focusing on testing and operational excellence
  • Create automated workflows that streamline the model lifecycle and minimize manual intervention

Benefits

  • Strong pay-for-performance rewards
  • Eligibility for cash bonuses and equity rewards
  • Comprehensive benefits package
  • Regular fair pay assessments across ethnicity and gender categories
Full Job Description
Staff Machine Learning Engineer, Consumer Risk AI
Intuit is looking for a Staff Machine Learning Engineer to own the data and platform layer beneath our consumer risk decisioning. This team builds the machine learning that decides, in real time, whether money moves - protecting customers from account takeover, first/third-party fraud, and unauthorized transactions across Intuit Fintech products.

You'll design and own the shared infrastructure every model on this team depends on: streaming and batch feature pipelines, the cross-entity data path, training and evaluation frameworks, real-time inference serving, and the handoff into our decision engine, across entire Fintech money product lifecycle - from risk screening/qualification of money-in/out events, cashflow underwriting, account take-over detection, to dynamic segmentation. What you architect becomes the reference pattern the whole organization adopts.

Responsibilities
  • Own the technical vision and architecture for the consumer risk data and serving platform - feature pipelines, the cross-entity data path, training and evaluation infrastructure, and real-time inference - balancing tradeoffs and long-term implications
  • Design and build multi-cloud infrastructure stack and enable data handshake, working through federated account link mapping, and land curated, governed datasets in the Intuit's central data lake
  • Build shared feature infrastructure spanning streaming and batch, consumed by multiple model workstreams, with the observability to catch drift and staleness
  • Establish evaluation frameworks that make model quality, regression, and production impact measurable across the team's portfolio
  • Own the model-to-decision path: deployment through model serving, integration with the decision engine, and correctness and latency on a sub-second decision budget
  • Set and enforce engineering standards for ML systems on this team - testing, observability, reproducibility, operational excellence - and structure codebases for agent-assisted development and autonomous navigation
  • Engineer closed-loop workflows that automate the repetitive parts of the model lifecycle, moving beyond point automation toward orchestrated systems needing minimal intervention
  • Eliminate barriers caused by technical and prioritization complexity, including dependencies that cross into platform and data teams - cultivate the partnerships that make those dependencies tractable
  • Generalize what you build into a reference pattern other teams can adopt rather than rebuild, and document it so the pattern travels
  • Mentor engineers on ML systems craft; provide actionable feedback to senior engineers and help them break work into pieces agents can execute reliably
  • Connect technical decisions to the metrics leadership tracks - loss basis points, approval rate, decision latency, hold release rate - define success up front, and drive the post-launch iteration


Qualifications
  • Minimum
  • BS, MS, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
  • 8+ years building production software, with substantial time on ML systems rather than ML research; prior experience leading an engineering effort across teams
  • Strong CS fundamentals - data structures, algorithms, distributed systems, system design - plus working ML fundamentals (classification, regression, feature engineering, model evaluation)
  • Proficiency in Python and SQL; production experience with Spark, Flink, or equivalent for streaming and batch data processing
  • Demonstrated ownership of a data or ML platform used by more than one team, including the operational load after launch
  • Experience deploying models to real-time serving under hard latency budgets, and running them in production afterward
  • Cloud infrastructure depth in at least one major cloud, ideally AWS (including SageMaker or equivalent ML tooling). Comfortable owning your own footprint - IaC, CI/CD, cost - rather than filing tickets against someone else's
  • Track record of setting technical direction in ambiguous problem spaces and bringing other teams along without formal authority
  • Strong written communication. You can put a tradeoff in front of an AI scientist, a platform owner, and a risk strategy partner in one document and have all three follow it
  • Preferred
  • Risk, fraud, payments, or credit domain experience, ideally in real-time decisioning
  • Feature store or feature platform experience
  • Entity resolution or identity graph work
  • Experience with a rules engine and the model-to-decision handoff
  • Regulated data handling - field-level encryption, fine-grained access control, data governance in financial services
  • Fluency orchestrating AI agents on real engineering work, and judgment about where agent-generated output needs deterministic guardrails


Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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:
Mountain View $202,500 - $274,000

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.

Work You’ll Do

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.

Explore Job Opportunities and Growth

Intuit’s career paths are as diverse as the innovative solutions we provide to millions. From finance to software engineering, our job opportunities span across multiple disciplines. Whether you’re looking for a full-time position, an internship, or leadership roles, Intuit offers a world of opportunities for professional growth. Our hiring process is designed to identify and attract professionals who are not only skilled but are also passionate about making a difference.

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.

Join Our Team

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.

Networking and Career Advancement

At Intuit Inc, networking and internal mobility are encouraged to foster professional growth and innovation. Connect with leaders and peers through our various networking events, mentorship programs, and collaborative projects. With support at every step of your career, the opportunities at Intuit are limitless.

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Explore Careers at Intuit Inc

Discover the exciting and rewarding career opportunities awaiting you at Intuit Inc. Let your ambition lead you to success. Join us in our mission to power prosperity and contribute to our journey of continuous innovation.

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At Intuit Inc, every role is a chance to innovate, grow, and make an impact. Join us, and together let's shape the future of finance.
Learn more about Intuit Inc
Size
13,500 employees
Market Cap
$107.4 billion
Industry
Consumer Technology
Net Income
$1.7 billion
Founded
1983
5 Year Trend
+19.6%
Revenue
$7.7 billion
NASDAQ
INTU
* Ladders Estimates

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