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Staff Machine Learning Scientist Jobs (NOW HIRING)

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded inside a ... Work with data scientists to create and refine features from the underlying data and build ...

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching ... MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or ...

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll be embedded ... Work with data scientists to create and refine features from the underlying data and build ...

The Role We're looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our ...

About the Team This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product ...

Summary of Position The Machine Learning effort is part of the Data Science team at Teladoc Health. In this role, you will partner with Product, Engineering, Clinical,Operations, Marketing and Data ...

As a Staff Machine Learning Engineer in Product & Technology, you will help Paylocity build and ... Collaborate closely with internal teams such as Data Science, Data Engineering, Paylocity's Cloud ...

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Staff Machine Learning Scientist information

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$33K

$85.5K

$140.5K

How much do staff machine learning scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for staff machine learning scientist in the United States is $85,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $111,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Staff Machine Learning Scientist jobs?

For Staff Machine Learning Scientist jobs, the most frequently searched job titles are:

Staff Machine Learning Engineer

Mountain View, CA • On-site

Intuit
Computer and Electronic Product Manufacturing • 5 - 10K employees

$202K - $274K/yr

Full-time

Re-posted 5 days ago


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

105th of 247 rated software companies


Job description

Come join Intuit as a Staff Machine Learning Engineer!

In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.


Responsibilities

  • Discover data sources, get access to them, import them, clean them up, and make them "machine learning ready".
  • Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
  • Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
  • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
  • Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
  • Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

 Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.


Qualifications

  • BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience.
  • 6+ years of experience
  • Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
  • Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
  • Understand machine learning principles (training, validation, etc.)
  • Knowledge of data query and data processing tools (i.e. SQL)
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning).
  • Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
  • Experience deploying highly scalable software supporting millions or more users
  • Experience with GPU acceleration (i.e. CUDA and cuDNN)
  • Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP)
  • Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users

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:
Mountain View $202,500 - $274,000
Employment Type: Full-Time

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