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Trainee Machine Learning R Jobs (NOW HIRING)

Instacart

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Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools. * Self-motivation and a strong sense of ownership

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Familiarity with statistical modeling and analysis tools (R, MATLAB, or equivalent) * Solid ...

Adobe

Machine Learning Engineer

San Jose, CA

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Familiarity with statistical modeling and analysis tools (R, MATLAB, or equivalent) * Solid ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into ...

Umba

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Experience with machine learning frameworks such as Scikit ...

Umba

Machine Learning Lead

San Francisco, CA · On-site

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Experience with machine learning frameworks such as Scikit ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

Strong Python or R programming skills required * Experience developing, architecting, and running ... for the AWS Certified Machine Learning - Specialty credential. * Experience with Bayesian ...

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Trainee Machine Learning R information

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$25.5K

$43.5K

$63.5K

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

As of Jul 1, 2026, the average yearly pay for trainee machine learning r in the United States is $43,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $51,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Machine Learning R jobs? The most popular types of Machine Learning R jobs are:
Trainee Machine Learning R jobs near you
Infographic showing various Trainee Machine Learning R job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 77% Full Time, 12% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,530 per year, or $20.9 per hour.
Machine Learning Researcher - Intern

Machine Learning Researcher - Intern

Point72

New York, NY • On-site

Internship

Posted 24 days ago

Job description


Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation.
Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.
DESIRABLE CANDIDATES
  • Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field.
  • Superb analytical and quantitative skills, along with a healthy streak of creativity.
  • Demonstrated ability to conduct independent research utilizing large data sets.
  • Passion for seeing research through from initial conception to eventual application.
  • Curiosity about financial markets
  • Strong scientific programming in Python, R or Matlab.
  • Empirical, detail-oriented mindset.
  • Sense of ownership of his/her work, working well both independently and within a small collaborative team.

We're looking for exceptional colleagues with unparalleled passion. If you'd like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you've worked outside of school, or as part of your curriculum. If you're proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we'd love to learn more about what excites you.

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