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Machine Learning R Jobs (NOW HIRING)

Strivector Corp

Machine Learning

Manhattan, NY · On-site

Required : • Development experience in Python or R (C, C++, Java, etc is a plus) • Machine Learning experience • Deep understanding of statistical learning methods • Strong communications and ...

Qualcomm

Machine Learning Compiler

Manhattan, NY · On-site

$141 - $211/hr

... R, C, C++). * 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule). * 1+ year of experience working in a large matrixed organization. * 6+ months of ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... R * SQL * TensorFlow, Keras, and/or PyTorch * Microsoft Azure cloud platform * DevOps and/or MLOps ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...

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 ...

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 ...

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 ...

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 ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

Expertise in Python, R, and SQL is required, as well as familiarity with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies ...

Apex Systems

Machine Learning Engineer

Pleasanton, CA · On-site

Python, R, and SQL * Machine learning frameworks such as TensorFlow, Keras, and/or PyTorch * Cloud platforms, specifically Microsoft Azure * DevOps and/or MLOps practices for model lifecycle ...

TwinThread

Machine Learning Engineer

Charlottesville, VA · On-site

$90 - $120/hr

Strong Python or R programming skills * Understanding of relational databases * 3+ years of experience as a data scientist, machine learning engineer, or similar role * Solid understanding of the ...

Point72

Machine Learning Engineer

Manhattan, NY · On-site

Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...

Point72

Machine Learning Engineer

New York, NY · On-site

Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...

Point72

Machine Learning Engineer

New York, NY

Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...

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Machine Learning R information

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$25.5K

$42.6K

$88K

How much do machine learning r jobs pay per year?

As of Aug 20, 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 is a machine learning 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.

What skills and qualifications are needed to thrive as a machine learning r?

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 challenges do machine learning r 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 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 it possible to do machine learning in R?

Machine Learning R roles involve applying machine learning techniques using the R programming language, which offers numerous packages like caret, randomForest, and xgboost for model development. R is widely used in data analysis and statistical modeling, making it suitable for machine learning tasks in various industries. Proficiency in data manipulation, statistical concepts, and familiarity with R's ecosystem are essential for these roles.

Is machine learning R a high paying job?

Machine Learning R roles are generally well-paid due to the specialized skills required in data analysis, statistical modeling, and programming with R. Salaries depend on experience, location, and industry, but professionals with expertise in machine learning and R often earn above average tech salaries.
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Machine Learning R jobs near you
Infographic showing various Machine Learning R job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning

Strivector Corp

Manhattan, NY • On-site

Full-time

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

Job description

Job Summary:
Strivector Corp is a National Recruiting and Staffing agency established in 2012 and headquartered in Austin, Texas. They are seeking a Machine Learning professional capable of tackling research problems with commercial applications, applying technical expertise to real-world financial and operational challenges.
Responsibilities:
• We are seeking someone capable of independently tackling research problems that have commercial applications.
• Ideal candidates will be able to apply the technical expertise and research acumen cultivated in their academic careers to real-world financial and operating problems.
• These candidates will have a track record of exceptionally creative, hands-on, high-impact machine learning research and applications, evidenced by publications in competitive venues.
Qualifications:
Required:
• Development experience in Python or R (C, C++, Java, etc is a plus)
• Machine Learning experience
• Deep understanding of statistical learning methods
• Strong communications and organizational skills
• Bachelor's degree required, Ph.D. desired
• 4+ years of applicable research experience
Company:
Strivector is a National Staffing and Recruiting agency that specializes in hiring for Leadership, Information Technology, Veterinary, Engineering, Operations, Sales, Quality, HR, and Finance positions. Founded in 2011, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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