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Machine Learning Internship No Experience Jobs (NOW HIRING)

Jane Street

Machine Learning Engineer

New York, NY · On-site

... experience. You'll be paired with full-time employees who act as mentors, collaborating with you on ... Many classes and activities are shared with our Software Engineering interns, while others focus ...

Jane Street

Machine Learning Engineer

New York, NY

... experience. You'll be paired with full-time employees who act as mentors, collaborating with you on ... Many classes and activities are shared with our Software Engineering interns, while others focus ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

No prior knowledge of neuroscience is required; we value simple solutions grounded in first ... Experience writing production-level C/C++/Rust and Python * Proven track record of designing ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

You'll work side by side with experienced ML Researchers on projects that we've selected for their ... You'll spend the bulk of your internship working closely with full-time machine learning ...

Tech Consulting

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Machine Learning Engineer

Dallas, TX · On-site

$30 - $40/hr

Internship, academic project, or personal project in AI/ML. * Knowledge of deep learning and neural ... Experience with APIs and REST services. * Understanding of data visualization tools. * Basic ...

New

D.A. Dodd

Work-Based Learning Internship

Lafayette, IN · On-site

$14.50 - $19.25/hr

As an intern, you will receive guidance from experienced professionals and assist in the ... This in no way states or implies that these are the only duties to be performed by the employee(s ...

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Machine Learning Internship No Experience information

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$25.5K

$42.6K

$88K

How much do machine learning internship no experience jobs pay per year?

As of Jul 29, 2026, the average yearly pay for machine learning internship no experience 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 the key skills and qualifications needed to thrive as a Machine Learning Intern with no prior experience, and why are they important?

To thrive as a Machine Learning Intern with no experience, you need a solid understanding of programming (especially Python), basic statistics, and foundational machine learning concepts, often demonstrated through coursework or personal projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected. Curiosity, eagerness to learn, problem-solving ability, and effective communication are standout soft skills in this position. These skills and qualities are crucial for adapting quickly, contributing to projects, and maximizing growth in a hands-on learning environment.

What is a machine learning internship with no experience?

A machine learning internship with no experience is an entry-level opportunity designed for students or individuals who are new to the field of machine learning and may not have previous professional experience. These internships typically focus on foundational skills such as data preprocessing, understanding basic algorithms, and using popular tools like Python, TensorFlow, or PyTorch. Interns are often provided with mentorship, training, and real-world projects to help them learn and apply machine learning concepts. The goal is to gain practical experience and build a portfolio, which can be helpful for future job opportunities in the field.

What types of projects or tasks are typically assigned to machine learning interns with no prior experience?

Machine learning interns with no prior experience are often assigned to support tasks such as data preprocessing, exploratory data analysis, and helping to clean or organize datasets. They may also assist with implementing, testing, or tuning basic machine learning models under the guidance of experienced team members. Interns are encouraged to participate in team meetings, contribute to code reviews, and learn about the deployment process, giving them valuable exposure to real-world workflows and collaboration within a machine learning team.

What is the difference between Machine Learning Internship No Experience vs Data Science Intern No Experience?

AspectMachine Learning Internship No ExperienceData Science Intern No Experience
Required CredentialsBasic programming skills, introductory knowledge of ML conceptsBasic programming skills, introductory knowledge of data analysis
Work EnvironmentTech companies, startups, research labsTech companies, consulting firms, research organizations
Employer & Industry UsagePrimarily in AI and ML-focused rolesBroader data analysis and business intelligence roles
Search & Comparison IntentUnderstanding entry-level ML roles for beginnersExploring data analysis internships for beginners

Both internships are entry-level roles requiring foundational skills in programming. Machine Learning Internships focus on developing algorithms and models, while Data Science Internships emphasize data analysis and visualization. The choice depends on your interest in AI/ML versus broader data analysis tasks.

More about Machine Learning Internship No Experience jobs
What cities are hiring for Machine Learning Internship No Experience jobs? Cities with the most Machine Learning Internship No Experience job openings:
What states have the most Machine Learning Internship No Experience jobs? States with the most job openings for Machine Learning Internship No Experience jobs include:
What job categories do people searching Machine Learning Internship No Experience jobs look for? The top searched job categories for Machine Learning Internship No Experience jobs are:
Machine Learning Internship No Experience jobs near you
Infographic showing various Machine Learning Internship No Experience job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Data Science Machine Learning Internship (Summer 2027)

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT

Full-time

Posted 8 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply