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Machine Learning Intern Jobs in New York (NOW HIRING)

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Machine Learning Intern information

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$27.9K

$46.6K

$96.3K

How much do machine learning intern jobs pay per year?

As of Jul 24, 2026, the average yearly pay for machine learning intern in New York is $46,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in New York? The most popular types of Machine Learning jobs in New York are:
What are popular job titles related to Machine Learning Intern jobs in New York? For Machine Learning Intern jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in New York look for? The top searched job categories for Machine Learning Intern jobs in New York are:
What cities in New York are hiring for Machine Learning Intern jobs? Cities in New York with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in New York as of July 2026, with employment types broken down into 10% Internship, 1% As Needed, 56% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $46,588 per year, or $22.4 per hour.

Bernstein - Quantitative Research & Trading Intern - Fall 2026

Societe Generale

New York, NY

Other

Posted 7 days ago

Job description

We are looking for a highly self-motivated, fast-learning intern to join our quantitative research and trading team. This role is ideal for candidates who can operate independently, quickly understand complex systems, and contribute to production-level projects.

You will work closely with a small, high-impact team building and supporting a global trading system spanning market data, execution algorithms, and analytics.

Key Responsibilities

  • Develop and enhance quantitative models for trading and execution
  • Analyze large-scale market data to extract actionable signals
  • Support algorithmic trading strategies (alpha, execution, microstructure)
  • Build tools for data analysis, simulation, and visualization
  • Collaborate with engineers on system integration (Python / Java / C )
  • Debug and improve production trading systems

Basic Qualifications

  • Strong self-drive and ability to work independently
  • Background in Mathematics, Statistics, Computer Science, or Engineering
  • Programming experience in at least one of: Python, C , or Java
  • Understanding of data structures, algorithms, probability, and statistics
  • Ability to read and understand complex existing codebases
  • Be in your penultimate year of study of a bachelor's or master's degree, we will also consider post graduate interns.  
  • Be available for full-time or part-time work the fall of 2026.

Preferred Qualifications

  • Experience with quantitative trading, financial markets, or time series modeling
  • Familiarity with machine learning techniques
  • Experience with 3D modeling or simulation tools (e.g., Blender), demonstrating spatial reasoning and technical creativity
  • Exposure to Linux, distributed systems, or cross-language systems (e.g., Java C )

 Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience.

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