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Machine Learning R Jobs (NOW HIRING)

Cymertek

Machine Learning Engineer

Vienna, VA

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 ...

Jobs for Humanity

Machine Learning Engineers

San Jose, CA · On-site

$194K - $355K/yr

Tiktok Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video. At TikTok ...

Cymertek

Machine Learning Engineer

Reston, VA

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

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

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

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

Chantilly, VA

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

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

Aurora, CO

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 ...

Instacart

OR

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 ...

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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 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 Engineer

Machine Learning Engineer

Cymertek

Vienna, VA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Machine Learning Engineer
LOCATION
Tysons, VA 22182
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about artificial intelligence, data-driven solutions, and continuously learning in an evolving field, we'd love for you to be part of our team.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
  • Ability to design, implement, and optimize machine learning models and workflows
  • Experience working with large, complex datasets
  • Knowledge of data preprocessing and feature engineering
  • Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
  • Strong problem-solving skills and analytical thinking
REQUIRED SKILLS
  • 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 metrics
  • Strong knowledge of version control tools (e.g., Git)
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  • Understanding of database technologies (e.g., SQL, NoSQL)
DESIRED SKILLS
  • Experience with natural language processing (NLP)
  • Knowledge of deep learning techniques (e.g., CNNs, RNNs)
  • Familiarity with deployment tools (e.g., Docker, Kubernetes)
  • Experience with data augmentation and synthetic data generation
  • Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
  • Knowledge of edge computing and model optimization for deployment
PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us at jobs@cymertek.com or apply today: www.cymertek.com
Want to see what our employees think? Click here .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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