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
147 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.

Most-posted roles

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At a glance

TL;DR · Staff Machine Learning Engineer

As a Staff Machine Learning Engineer, you will join a vibrant team of data scientists to conceive, code, and deploy data science models at scale. Your daily responsibilities involve discovering, cleaning, and preparing data sources for machine learning readiness while collaborating with teammates to create features and build training pipelines. You will design and refine algorithms, conduct A/B tests, perform statistical analysis, and communicate technical results to cross-functional partners like product managers and engineers. To succeed, you must utilize tools such as Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark, and SQL. You will also leverage Git for version control and apply expertise in GPU acceleration via CUDA and cuDNN while integrating applications with AWS and GCP cloud technologies to solve complex technical problems involving high-scale software deployment.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Identify, import, and clean data sources to make them machine learning ready.
  • Create and refine features from underlying data to build training and deployment pipelines.
  • Design, implement, and refine machine learning algorithms in partnership with data scientists.
  • Run A/B tests and perform statistical analysis to evaluate model impact.
  • Develop and deploy high-scale machine learning models using industry-standard tools.
  • Write production-ready code for software supporting millions of users.
  • Research and evaluate new technologies to determine potential customer benefits.

What we're looking for

  • BS, MS, or PhD degree in Computer Science or a related field, or equivalent work experience.
  • 6+ 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.
  • Knowledge of 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, GPU acceleration (CUDA/cuDNN), and cloud technologies (AWS/GCP).

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