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Machine Learning Internship No Experience Jobs in New York

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 ...

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 ...

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Practical experience with deep learning: internships, undergrad or masters' level research projects ...

Pangram

Machine Learning Engineer (Junior)

Manhattan, NY · On-site

$90 - $130/hr

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Practical experience with deep learning: internships, undergrad or masters' level research projects ...

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 ...

Qualcomm

Machine Learning Compiler

Manhattan, NY · On-site

$141 - $211/hr

Master's degree in Computer Science, Engineering, Information Systems, or related field. * 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras ...

Forhyre

Machine Learning Engineer

New York, NY

Proven experience as a Machine Learning Engineer or similar role * Understanding of data structures, data modelling and software architecture * Deep knowledge of math, probability, statistics and ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Preferred Qualifications: • Master's degree in Computer Science, Engineering, Information Systems, or related field. • 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

Experience developing and deploying machine learning models in production environments. Strong experience with computer vision, image classification, object detection, deep learning, or related ...

Nutanix

Machine Learning Compiler

Manhattan, NY · On-site

$141 - $211/hr

Master's degree in Computer Science, Engineering, Information Systems, or related field.1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).1+ ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · Remote

$125/hr

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to ...

SysMind Tech

Machine Learning

Manhattan, NY · On-site

$85/hr

Minimum of 2 years of experience in a data science role. Proficiency in programming languages such as Python or R.. Strong understanding of machine learning techniques and algorithms. Preferred ...

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Machine Learning Internship No Experience information

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 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 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.

What are popular job titles related to Machine Learning Internship No Experience jobs in New York?

For Machine Learning Internship No Experience jobs in New York, the most frequently searched job titles are:

What job categories do people searching Machine Learning Internship No Experience jobs in New York look for?

The top searched job categories for Machine Learning Internship No Experience jobs in New York are:

What cities in New York are hiring for Machine Learning Internship No Experience jobs?

Cities in New York with the most Machine Learning Internship No Experience job openings:

Machine Learning Internship No Experience jobs near you
Infographic showing various Machine Learning Internship No Experience job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Data Science Machine Learning Internship (Summer 2027)

Stamford, CT • On-site

Castleton Commodities International, LLC
Oil and Gas Extraction • 501 - 1,000 employees
Learn more about Castleton Commodities International, LLCexternal

Full-time

Re-posted 10 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