ZipRecruiter

Log In

1

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.

Omni Inclusive

Machine Learning

Dallas, TX

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ...

Forhyre

Machine Learning Engineer

New York, NY

Ability to write robust code in Python, Java and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

Full Scope

Machine Learning Engineer

Reston, VA

Strong proficiency in programming languages such as Python, R, or Java. * Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. * Solid ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience with distributed and streaming data ...

Aivra Health LLC

$28 - $45/hr

R (preferred) * Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy * Apache ...

Aivra Health LLC

$28 - $45/hr

R (preferred) * Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy * Apache ...

Aivra Health LLC

$28 - $45/hr

R (preferred) * Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy * Apache ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Proficiency in programming languages such as Python or R.. Strong understanding of machine learning techniques and algorithms. Preferred Qualifications: Experience with modern ML frameworks such as ...

ManTech

Machine Learning Engineer

Herndon, VA

Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn). * Explore and visualize data to uncover ...

next page

Showing results 1-20

All JobsMachine Learning R Jobs

Machine Learning R information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning r jobs pay per year?

As of Jun 13, 2026, the average yearly pay for 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 are some common challenges Machine Learning Researchers face when transitioning models from research to production environments?

Machine Learning Researchers often encounter challenges when moving models from the experimental stage to production. These include ensuring the model generalizes well to real-world data, addressing issues with data drift, and optimizing computational efficiency for deployment. Collaboration with engineering and data teams is essential to adapt research prototypes to scalable, maintainable production systems. Gaining familiarity with deployment pipelines and monitoring tools can ease this transition and help bridge the gap between research and application.

What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?

To thrive as a Machine Learning Researcher, you need a strong background in mathematics, statistics, computer science, and a relevant advanced degree such as a master's or PhD. Proficiency in programming languages (like Python or R), machine learning frameworks (such as TensorFlow or PyTorch), and experience with data processing tools are typically required. Critical thinking, creativity, and effective communication are essential soft skills for developing novel solutions and collaborating with interdisciplinary teams. These skills and qualifications are crucial for driving innovation and solving complex real-world problems in the rapidly evolving field of machine learning.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in algorithms, data modeling, and proficiency in tools like Python and TensorFlow can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity or bonuses.

What is the difference between Machine Learning R vs Data Scientist?

AspectMachine Learning RData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related fields; certifications in ML or data analysisBachelor's or Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, research labs, startups; focus on developing ML models using RVarious industries including finance, healthcare, tech; focus on data analysis, modeling, and insights
Industry UsageCommon in analytics and research roles using R for ML tasksBroader role including data cleaning, visualization, and strategic insights

While both roles involve data analysis and machine learning, Machine Learning R specialists focus specifically on developing ML models using R programming. Data Scientists have a broader scope, including data cleaning, visualization, and strategic decision-making across industries.

Is R useful for machine learning?

Machine Learning R is a popular language for data analysis and statistical modeling, with extensive libraries like caret and randomForest that support machine learning tasks. It is widely used by data scientists and analysts for developing predictive models and data exploration. Proficiency in R can be valuable for roles involving data analysis, modeling, and visualization in machine learning projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms with competitive compensation packages.

What are Machine Learning Engineers (R)?

Machine Learning Engineers (R) are professionals who specialize in designing, building, and deploying machine learning models using the R programming language. They work with large datasets, develop algorithms, and use statistical methods to solve complex problems in areas like prediction, classification, and data analysis. Their responsibilities often include data preprocessing, model training and evaluation, and integrating machine learning solutions into production systems. R is particularly valued for its robust statistical libraries and data visualization capabilities, making it a popular choice for research and data science tasks.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI automates routine tasks. These jobs require advanced analytical skills, programming knowledge, and domain expertise that are difficult for AI to fully replicate. Continuous learning and proficiency in tools like Python and TensorFlow will support long-term career stability in these fields.
More about Machine Learning R jobs
What are the most commonly searched types of Machine Learning R jobs? The most popular types of Machine Learning R jobs are:
What job categories do people searching Machine Learning R jobs look for? The top searched job categories for Machine Learning R jobs are:
Machine Learning R jobs near you
Infographic showing various Machine Learning R job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 4% As Needed, 75% Full Time, 13% Part Time, and 6% 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.

Machine Learning

Demoind

California, PA

Other

Posted 27 days ago

Job description

Overview:
Job description
Job Responsibilities :
- Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation.
- Understand business challenges and goals to formulate the approach for data analysis and model creation that will support business decision making.
- Take analytical objectives and define data requirements in terms of size, format, and cleansing needs for purposes of analysis, modelingsegmentation and reporting.
- Research on innovative technologies to come up .
- Interpret, document and presentcommunicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data.
- Building intelligent systems leveraging the vast amount of available userbehavior data to enrich the end-user experience
Job Requirements :
- Masters- (with 4+ years of experience) Or Ph.D. (with 0 - 2 years of experience) in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence Computer Science.
- Experience with building data analytics models via supervised and unsupervised machine learning, statistical analysis, and predictive modeling techniques.
- Understanding of statistical modelingmachine learning data mining concepts and strong analytical and quantitative problem-solving ability.
- Strong background and experience in using R, SAS, MATLAB or equivalent statisticaldata analysis tools and technologies is a must.
- Hands-on skills in using techniques such as Parametric and Non-Parametric Regression models.
Skills : PYTHON, ANALYSIS
RoleMachine Learning Engineer
Industry TypeIT Services & Consulting
Functional AreaData Science & Analytics
Employment TypeFull Time, Permanent
Role CategoryData Science & Machine Learning
Education
UG :B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization
PG :M.Tech in Computers, MS/M.Sc(Science) in Computers, Statistics, MCA in Computers, M.A in Statistics
Doctorate :Ph.D/Doctorate in Statistics, Computers
Key Skills
Machine Learning
R, SAS,Artificial Intelligence,MATLAB,Python
Skills:
MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING

Apply