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Internship Machine Learning R Jobs (NOW HIRING)

Machine Learning Engineer

CA · On-site

$75 - $89/hr

Machine Learning Engineer Pay Rate: $75-$89/hour Position Summary We are seeking a skilled Machine ... Strong programming skills in Python, R, and/or SQL * Experience with cloud platforms such as AWS ...

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 ...

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 ...

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 ...

They are seeking a Machine Learning Engineer to join their Applied Algorithms and Autonomy team ... Preferred : • Internship, research, or project experience applying ML to real-world or research ...

As a Machine Learning Engineer, you will contribute to the design and development of machine ... Preferred : • Internship, research, or project experience applying ML to real-world or research ...

Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...

Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...

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 ...

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Internship Machine Learning R information

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$25.5K

$42.6K

$88K

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

As of Jun 18, 2026, the average yearly pay for internship 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 the difference between Internship Machine Learning R vs Data Analyst Intern?

AspectInternship Machine Learning RData Analyst Intern
Required SkillsProficiency in R, basic machine learning concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness environments, consulting firms, marketing agencies
Industry UsagePrimarily in tech, AI, and data science sectorsAcross various industries including finance, marketing, and healthcare

Internship Machine Learning R focuses on applying R programming to develop machine learning models, often in tech and AI sectors. In contrast, Data Analyst Internships emphasize data visualization, statistical analysis, and reporting across diverse industries. Both roles require data handling skills but differ in their focus on machine learning versus data interpretation.

What cities are hiring for Internship Machine Learning R jobs? Cities with the most Internship 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 Internship Machine Learning R jobs? States with the most job openings for Internship Machine Learning R jobs include:
Infographic showing various Internship Machine Learning R job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 2% As Needed, 71% Full Time, 19% Part Time, and 6% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Mariana Minerals

Ann Arbor, MI • On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to develop and improve machine learning systems for mineral refining facilities, working with real data to enhance operational efficiency.
Responsibilities:
• Run reinforcement learning experiments in our physically realistic simulators of mineral processing operations, and help turn the results into better controllers.
• Build and refine pieces of our training environments—reward functions, observations, and action logic—with guidance from senior engineers.
• Train control models, track and interpret their performance, and dig into why a model underperforms.
• Help close the gap between simulation and reality by comparing model behavior against real plant data and flagging where the physics diverges.
• Write clean, well-tested code and contribute to the services that put models into production.
• Partner with process and chemistry experts to understand the unit operations you're modeling.
Qualifications:
Required:
• 0–4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing—or a strong recent graduate with demonstrated project depth.
• Solid grounding in machine learning fundamentals, with working knowledge of modern deep learning; exposure to reinforcement learning is a strong plus.
• Proficiency in Python and comfort reading and debugging an existing codebase.
• Curiosity about physical, industrial systems and eagerness to learn chemistry and process engineering from experts who will challenge your assumptions.
• A self-starter who asks good questions, ships, and escalates blockers early.
Company:
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying the minerals critical to modern energy, AI, and defense technologies. Founded in , the company is headquartered in San Francisco, CA, US, , with a team of 51-200 employees. The company is currently Growth Stage.