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Machine Learning Intern Jobs in New York (NOW HIRING)

1 800 Flowers

Intern, Artificial Intelligence

Jericho, NY

$15.50 - $20.75/hr

AI Intern Department: Product & AI Innovation Location: Jericho, NY Duration: 10-12 Weeks (Summer ... machine learning to real-world e-commerce, marketing, operations, and customer experience ...

1-800-Flowers

Intern, Artificial Intelligence

Jericho, NY

$15.50 - $20.75/hr

AI Intern Department: Product & AI Innovation Location: Jericho, NY Duration: 10-12 Weeks (Summer ... machine learning to real-world e-commerce, marketing, operations, and customer experience ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in New York

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 Jun 10, 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 June 2026, with employment types broken down into 2% Internship, 11% Full Time, 86% Part Time, and 1% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $46,588 per year, or $22.4 per hour.
Research Intern (PhD), Machine Learning

Research Intern (PhD), Machine Learning

Output Services

Manhattan, NY • On-site

Other

Medical, Dental, Vision

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.
Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.
Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD.
The Role
You will own a research project that directly advances Output's research and its path to new therapies. This is not a side project: your work will contribute to the same models and methods the full-time team builds on. We will select a project together based on your research interests and our priorities, with a path to publishing your work at top-tier venues and the opportunity to continue with additional projects throughout the year.
About You

  • You are currently pursuing a PhD in machine learning, computer science, computational biology, physics, mathematics, or a related field
  • You have a strong research track record, demonstrated by publications or submitted work at venues such as NeurIPS, ICML, ICLR, or relevant computational biology conferences
  • You have hands-on experience designing and running ML experiments, including training models and analyzing results
  • You are proficient in Python and PyTorch, and comfortable working with large-scale datasets and GPU infrastructure
  • You can work independently on a research problem: scoping an approach, running experiments, interpreting results, and communicating findings clearly
Bonus Points
  • You have experience applying machine learning to biological, chemical, or molecular data
  • You have a background in computational biology, biophysics, chemistry, or a related natural science
  • You have experience with generative models, representation learning, or self-supervised learning
  • You have contributed to open-source machine learning or computational biology projects
Our Values
♥ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.
Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.
Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.
Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.
Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.
What We Offer
  • We encourage new and different ideas, creativity and contrarian thinking
  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
  • You own your day-to-day management. What we care about is that we all hit our milestones
  • Competitive salary and equity in a growing, well-funded startup
  • Excellent medical, dental, and vision coverage

Apply