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Staff Machine Learning Engineer

Category Software Engineering Location Bangalore, India Job ID 18808
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

1. The Core Mission

At Intuit, a Staff ML Engineer acts as a bridge between research (Data Science) and engineering (Production). You are not just building models; you are architecting the systems that allow those models to serve 100 million+ customers across products like  QuickBooks

2. Strategic Focus Areas

Your work will likely align with one of Intuit’s "Big Bets" in AI:

  • Hyper-Personalization: Building recommendation engines that analyze financial history to offer tailored advice (e.g., specific tax deductions or cash flow forecasts).

  • AI-Driven Expert Platform: Automating complex financial workflows to connect customers with human experts only when necessary.

  • Financial Fraud Detection: Developing deep learning models to detect anomalies in transaction data in real-time.


3. Tech Stack

Intuit uses a modern, cloud-native stack. You should be proficient in:

CategoryTechnologies
LanguagesPython (primary), Java, Scala, SQL
ML FrameworksPyTorch, TensorFlow, Scikit-learn, Keras
Big Data & ProcessingApache Spark, Kafka, Databricks
Cloud & InfrastructureAWS (SageMaker), Kubernetes (K8s), Docker, Kubeflow
GenAI / LLMsLangChain, Bedrock, Proprietary LLMs, GenOS

Responsibilities

  • Architecting ML Platforms: Design scalable, fault-tolerant systems that can handle massive throughput for real-time predictions (e.g., fraud detection during tax filing).

  • GenAI Integration (GenOS): Leverage Intuit’s proprietary GenOS (Generative AI Operating System) to integrate Large Language Models (LLMs) into products, powering features like "Intuit Assist."

  • Model Productionalization: Take experimental models from Data Scientists (often written in notebooks) and refactor/optimize them for production (latency, reliability, scalability).

  • Cross-Functional Leadership: Serve as the technical lead for major initiatives, coordinating between Data Scientists, Product Managers, and Backend Engineers.

  • Technical Standards: Define best practices for code quality, testing, and ML Ops (CI/CD for ML) across the organization.


Qualifications

Bachelors of Engineering or Above equivalent from prestigiuos Instititutions


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 Intuit®: Careers | Benefits). 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: 



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Career Path

Mobility plays an important role for our engineering community. In addition to vertical growth, our teams offer lateral growth opportunities. Whether it’s working on a different tech stack or product, Intuit will help you get to the next step in your career.

  • Software Engineer 1 & 2
  • Sr. Software Engineer
  • Staff Software Engineer
  • Sr. Staff Software Engineer
  • Principal Software Engineer
  • Distinguished Software Engineer

There's so much flexibility in terms of moving not just between teams, but between roles.

Lucy Shen Developer Advocate

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