Staff Machine Learning Engineer

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$202,500–$274,000 / yr
Posted
152 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $227k
This role $238k
$174k most similar roles pay here $289k

This role pays more than 50% of similar roles. Most pay $197,631–$255,862 — the shaded band above. At the midpoint, this role pays about $238k versus about $227k for comparable roles.

Based on 240 similar postings.

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 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

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At a glance

TL;DR · Staff Machine Learning Engineer

As a Staff Machine Learning Engineer, you will join a team of AI scientists and engineers to create AI-powered experiences by conceiving, coding, and deploying models at scale. Your daily responsibilities include building machine learning ready feature pipelines, refining algorithms with AI scientists, running A/B tests, and monitoring production models while communicating results to cross-functional partners. You will utilize a technical stack including Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark, and SQL. The role requires expertise in machine learning techniques like classification, regression, and clustering, alongside software engineering fundamentals such as Git and production-ready code. You will also integrate applications with cloud technologies like AWS and GCP to solve complex problems while exploring new technology shifts to deliver specific customer benefits through scalable software solutions.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Create and refine features from underlying data to train and deploy models.
  • Build machine learning ready feature pipelines.
  • Design, implement, and refine machine learning algorithms in partnership with AI scientists.
  • Run regular A/B tests to gather data and evaluate model impact.
  • Monitor and maintain production models at scale.
  • Explore new technologies to determine potential benefits for customers.

What we're looking for

  • BS, MS, or PhD degree in Computer Science or a related field, or equivalent work experience.
  • 7+ years of professional experience.
  • Proficiency with data science tools and frameworks including Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, and Spark.
  • Knowledge of machine learning techniques such as classification, regression, and clustering.
  • Understanding of machine learning principles like training and validation.
  • Proficiency in data query and processing tools such as SQL.
  • Mastery of computer science fundamentals including data structures, algorithms, and performance complexity.
  • Experience with software engineering fundamentals, cloud technologies (AWS/GCP), and deploying scalable software for millions of users.

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