Senior Machine Learning Engineer- Credit Karma

Intuit

Actively hiring
Oakland, California, US Posted 55 days ago $202,500–$274,000 / year
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At a glance

AI generated

TL;DR

Credit Karma seeks a Senior Machine Learning Engineer to join their team in Oakland, focusing on building and deploying infrastructure for data science teams. The role involves designing and maintaining a federated ML platform using Vertex AI and Kubernetes, developing feature engineering services with tools like Databricks Tecton, and integrating labeling platforms such as Labelbox and Snorkel. Responsibilities include providing technical support, collaborating with stakeholders to identify high-impact opportunities, and ensuring the scalability of services. The ideal candidate has a deep understanding of MLOps, big data technologies, and experience in hyper-growth environments, along with expertise in Python, Java, SQL, TensorFlow, and PyTorch. They should stay current with industry trends and mentor team members on best practices.

Skills

Python Kubernetes Vertex AI Tensorflow PyTorch Google Cloud Docker CI/CD MLOps Spark Dataflow Dask Ray PostgreSQL BigQuery Labelbox Snorkel GenAI Chronon Tecton FeatureStore Prometheus Grafana

What you'll do

  • Design and maintain a federated ML Platform using Vertex AI and Kubernetes.
  • Build feature engineering services for batch and streaming features on Vertex Featurestore.
  • Develop training data pipelines integrating labelbox, snorkel, and GenAI labeling platforms.
  • Provide technical support and improve performance of production machine learning services.
  • Implement platform-level monitoring for features, training data, and model scoring processes.
  • Propose and integrate industry innovations into the ML platform to enhance capabilities.
  • Mentor team members on current trends and best practices in machine learning.

What we're looking for

  • MS in Computer Science, Mathematics, Statistics, Machine Learning, or related quantitative discipline
  • 7+ years of industry experience in Machine Learning and Data Science
  • Deep understanding and ability to architect next-generation ML systems
  • Strong background in programming languages like Python, Java, SQL
  • Experience with deep learning frameworks such as TensorFlow, PyTorch
  • Expertise in MLOps and managing large-scale platforms for auto-refreshing models
  • Experience with high-volume data processing frameworks like Spark, Dataflow

Market check

Salary context

This $202,500–$274,000 range sits above 72% of similar postings on FindRole.

Peer median band

$161,350–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$174,846–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 142 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 131 roles with salary data.

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