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Temporary Machine Learning R Jobs in Fontana, CA

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

search-tactics

Power BI Developer

Diamond Bar, CA · On-site

Solid Data Science experience (statistical analysis, predictive analytics, machine learning concepts, Python/R a plus) * Demonstrated stakeholder management experience -- ability to engage directly ...

U.S. Navy

Linguist

Norco, CA

... and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an intellectually demanding career ...

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All JobsMachine Learning R JobsTemporary Machine Learning R JobsTemporary Machine Learning R Jobs in Fontana, CA

Temporary Machine Learning R information

See Fontana, CA salary details

$25.9K

$43.3K

$89.5K

How much do temporary machine learning r jobs pay per year?

As of Sep 8, 2026, the average yearly pay for temporary machine learning r in Fontana, CA is $43,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,800.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What are popular job titles related to Temporary Machine Learning R jobs in Fontana, CA?

For Temporary Machine Learning R jobs in Fontana, CA, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning R jobs in Fontana, CA look for?

The top searched job categories for Temporary Machine Learning R jobs in Fontana, CA are:

What cities near Fontana, CA are hiring for Temporary Machine Learning R jobs?

Cities near Fontana, CA with the most Temporary Machine Learning R job openings:

Temporary Machine Learning R jobs near you
Infographic showing various Temporary Machine Learning R job openings in Fontana, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $43,292 per year, or $20.8 per hour.

Staff Machine Learning Engineer (Mountain View)

Victorville, CA • On-site

Intuit Inc.
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Intuit Inc.external

$197K - $266K/yr

Full-time

Posted 21 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

Overview

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. The expected base pay range for this position is: Bay Area, CA: $197,000 - $266,500.

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