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Machine Learning Intern Jobs in New York (NOW HIRING)

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Machine Learning Intern information

See New York salary details

$27.9K

$46.6K

$96.3K

How much do machine learning intern jobs pay per year?

As of Aug 15, 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 August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,588 per year, or $22.4 per hour.

Machine Learning Researcher / Machine Learning Engineer

Anson McCade

Manhattan, NY • On-site

$200K/yr

Full-time

Posted 29 days ago

Job description

$200,000 - 2,000,000 USD
Onsite WORKING
Location: New York, New York - United States Type: Permanent
ML Researcher / ML Engineer
I am working with one of the world's leading quantitative trading firms, recognised for combining cutting-edge technology, quantitative research, and machine learning to solve some of the most complex challenges in global financial markets. Renowned for its research-driven culture and engineering excellence, the firm continues to make significant investments in next-generation machine learning capabilities that directly enhance trading performance and business outcomes.
As part of the continued expansion of its Machine Learning platform, the firm is looking to hire exceptional Machine Learning Researchers and Machine Learning Engineers to join several high-performing teams working across large-scale machine learning, deep learning, distributed systems, and production ML infrastructure.
The Opportunity
This is an opportunity to work alongside some of the industry's leading researchers and engineers, developing advanced AI models and production-scale machine learning systems that are deployed directly into live trading environments.
Depending on your experience and interests, you may focus on areas including:
  • Large Language Models (LLMs)
  • Foundation model training and optimisation
  • Agentic AI systems
  • Applied machine learning research
  • Model evaluation and post-training optimisation
  • Distributed systems and AI infrastructure
You'll tackle challenging mathematical and engineering problems while building scalable, production-ready AI solutions in a highly collaborative and research-driven environment.
Requirements
Successful candidates will typically possess:
  • Strong experience in Machine Learning, Deep Learning, Large Language Models, AI Infrastructure, or Distributed Systems
  • Excellent programming skills in Python and/or C++
  • Experience developing and deploying production-grade machine learning systems
  • A strong mathematical foundation and exceptional problem-solving ability
  • A passion for solving technically demanding challenges in a fast-paced environment
Why Join?
This firm offers the opportunity to work on some of the most advanced AI and machine learning challenges in the financial industry, alongside world-class researchers, engineers, and quantitative professionals.
The compensation package is exceptionally competitive, with top performers receiving industry-leading total compensation, complemented by outstanding career progression, access to cutting-edge technology, and the opportunity to make a direct impact on live trading systems from day one.

Apply