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Remote Machine Learning R Jobs (NOW HIRING)

Anytime AI

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

S. or higher in Computer Science, Machine Learning, AI, or related fields. * 3+ years of experience in Machine Learning R&D. * Proficiency in Machine Learning and NLP techniques and tools.

CloudDevs

Machine Learning Intern

Manhattan, NY · Remote

... collaborative remote environment. Responsibilities Assist in collecting, cleaning, and ... Proficiency in programming languages such as Python, R, or Java. Knowledge of data manipulation and ...

ManTech International

Machine Learning Engineer

$128.80K - $214.50K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... Java, R) and core libraries (TensorFlow, Keras, Scikit-learn). * Explore and visualize data to ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... This is a fully remote, flexible contract role built for experienced ML and engineering ...

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type : Hourly Contract Compensation : $50-$70 /hour ...

k1x

Machine Learning Engineer

Manhattan, NY · Remote

Fully Remote Position Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area ... As a Machine Learning Engineer, you will play a critical role in developing and implementing ...

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Remote Machine Learning R information

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$25.5K

$42.6K

$88K

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

As of Jun 3, 2026, the average yearly pay for remote machine learning r in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Remote Machine Learning R jobs? Cities with the most Remote Machine Learning R job openings:
What are the most commonly searched types of Machine Learning R jobs? The most popular types of Machine Learning R jobs are:
What states have the most Remote Machine Learning R jobs? States with the most job openings for Remote Machine Learning R jobs include:
Remote Machine Learning R jobs near you
Infographic showing various Remote Machine Learning R job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 12% Part Time, and 10% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Remote Machine Learning Engineer

Angenex

Jersey City, NJ • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Remote Machine Learning Engineer

Jersey City, NJ, United States

About the Job

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

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