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Machine Learning R Jobs (NOW HIRING)

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

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 ...

Q2

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Python, R, or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Instacart

OR · On-site

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

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How much do machine learning r jobs pay per year?

As of Jul 7, 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 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.

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.
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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
Applied Machine Learning Engineer

Applied Machine Learning Engineer

IUNU

Seattle, WA • On-site

Full-time

Re-posted yesterday

Job description

At IUNU (“you knew’), we’re revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry. 
Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications.
Responsibilities
  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field

Requirements
  • 3-5 years of proven experience as a Machine Learning Engineer or a similar role
  • Strong experience with Deep Learning
  • Understanding of data structures, data modeling, and software architecture
  • Deep knowledge of math, probability, statistics, and algorithms
  • 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 to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus

Diversity
At IUNU, we’re committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths.

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