Machine Learning Intern Jobs in New York
Machine Learning Intern jobs in New York are among the most actively recruited early-career tech roles in the country, concentrated in fintech, healthcare AI, media technology, and enterprise software across New York City, Buffalo, and Albany. Major employers with a lasting New York footprint, including IBM, JPMorgan Chase, and Memorial Sloan Kettering Cancer Center, consistently take on machine learning interns from entry-level through advanced graduate positions. The most in-demand specialties are natural language processing, computer vision, and predictive modeling. Find a role that fits below and apply directly.
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About GPTZero
GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Perplexity, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.
What We're Looking For
At GPTZero, we ensure that machine learning models are created for the benefit of humanity, not the other way around. In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders, creating industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.
Responsibilities
Depending on the candidate, the role can be targeted more towards ML engineering or research (publication-focused)
- Design, train, and fine-tune state-of-the-art large language models
- Develop AI agents combined with retrieval-augmented language models
- Build efficient and scalable ML training and inference systems
- Stay up-to-date with the latest literature and emerging technologies to solve novel problems
- Work closely with product and design teams to develop intuitive applications that create societal impact
Qualifications
- Proficiency in Python and PyTorch
- Experience pushing or implementing the cutting-edge in machine learning
- Self-starter and hungry learner
- Highly motivated to make positive societal impact
- Ability to wear multiple hats
- Visa for work in Canada or US
- Bonus: + strong open-source portfolio + publications at top-tier ML venues + experience working in an early-stage startup environment + understanding of how machine learning models fail in the wild
Who You'll Be Joining
Our Team
You will be working directly with
- Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML
- George (our AI research lead) PhD from University of Toronto and ex-AWS research.
- Olivia (our head of design) on translating your research into outputs for millions of users.
- Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.
Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career. Together, we are committed to making a permanent impact on the future of writing, and on humanity.
Our Angels and Advisors
- Tom Glocer (Legendary Reuters CEO)
- Mark Thompson (Legendary NYT CEO and current CNN chief executive)
- Jack Altman (CEO of Lattice, brother of Sam Altman)
- Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI’s original GPT paper)
- Emad Mostaque (CEO of Stability AI)
- Doug Herrington (CEO of Worldwide Amazon Stores)
- Brad Smith (President of Microsoft)
- Tripp Jones (Partner at Uncork Capital)
- Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)
- Russ Heddleston (CEO of Docsend)
- Alex Mashrabov (Snapchat, Director of AI)
- Faizan Mehdi (Affinity, Director of Demand Generation)
Our Perks
- 🏥 Health, dental, and mental health benefits
- 💻 Hybrid work in Toronto and NYC offices
- 🚀 Competitive salary
- 🏝 Flexible PTO
- 🎉 Regular company retreats
- 💡 Mentorship opportunities with our world-class team, advisors, and investors
- 🙌 Wellness and learning stipend
About GPTZero
GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Perplexity, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.
What We're Looking For
At GPTZero, we ensure that machine learning models are created for the benefit of humanity, not the other way around. In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders, creating industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.
Responsibilities
Depending on the candidate, the role can be targeted more towards ML engineering or research (publication-focused)
- Design, train, and fine-tune state-of-the-art large language models
- Develop AI agents combined with retrieval-augmented language models
- Build efficient and scalable ML training and inference systems
- Stay up-to-date with the latest literature and emerging technologies to solve novel problems
- Work closely with product and design teams to develop intuitive applications that create societal impact
Qualifications
- Proficiency in Python and PyTorch
- Experience pushing or implementing the cutting-edge in machine learning
- Self-starter and hungry learner
- Highly motivated to make positive societal impact
- Ability to wear multiple hats
- Visa for work in Canada or US
- Bonus: + strong open-source portfolio + publications at top-tier ML venues + experience working in an early-stage startup environment + understanding of how machine learning models fail in the wild
Who You'll Be Joining
Our Team
You will be working directly with
- Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML
- George (our AI research lead) PhD from University of Toronto and ex-AWS research.
- Olivia (our head of design) on translating your research into outputs for millions of users.
- Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.
Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career. Together, we are committed to making a permanent impact on the future of writing, and on humanity.
Our Angels and Advisors
- Tom Glocer (Legendary Reuters CEO)
- Mark Thompson (Legendary NYT CEO and current CNN chief executive)
- Jack Altman (CEO of Lattice, brother of Sam Altman)
- Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI’s original GPT paper)
- Emad Mostaque (CEO of Stability AI)
- Doug Herrington (CEO of Worldwide Amazon Stores)
- Brad Smith (President of Microsoft)
- Tripp Jones (Partner at Uncork Capital)
- Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)
- Russ Heddleston (CEO of Docsend)
- Alex Mashrabov (Snapchat, Director of AI)
- Faizan Mehdi (Affinity, Director of Demand Generation)
Our Perks
- 🏥 Health, dental, and mental health benefits
- 💻 Hybrid work in Toronto and NYC offices
- 🚀 Competitive salary
- 🏝 Flexible PTO
- 🎉 Regular company retreats
- 💡 Mentorship opportunities with our world-class team, advisors, and investors
- 🙌 Wellness and learning stipend
See All 6 Machine Learning Intern Jobs in New York
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Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in New York
Where New York roles are concentrated, by current openings.
Machine Learning Intern Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Microsoft2
- 1-800-FLOWERS.COM1
- Amazon1
- GPTZero1
- Peloton Interactive1
Top Industries Hiring
- Artificial Intelligence3
- Technology & Software2
- Retail1
- Sports & Recreation1
What New York Employers Look For
The qualifications that appear most often in machine learning intern jobs across New York.
- Enrollment in a bachelor's or master's program in computer science, data science, or a related field
- Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch
- Hands-on coursework or project experience in supervised and unsupervised learning methods
- Ability to work with large datasets and apply data preprocessing and feature engineering techniques
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model deployment
- Strong written and verbal communication skills for presenting model results to cross-functional teams
Machine Learning Intern Jobs in New York: Frequently Asked Questions
How do you become a machine learning intern in New York?
Machine learning intern roles in New York have no state-issued license or registration requirement, so the path centers on academic credentials and demonstrated technical skills. Most New York employers expect current enrollment in a computer science, data science, statistics, or engineering program at a New York university such as NYU, Columbia, Cornell Tech, or RPI. A portfolio of completed projects, Kaggle competition entries, or GitHub repositories showing model-building work significantly strengthens an application in this market.
Which companies hire machine learning interns in New York?
Employers hiring machine learning interns in New York right now include Microsoft, 1-800-FLOWERS.COM, and Amazon, based on current listings on Migrate Mate as of June 2026. New York City's concentration of financial services, media, and health technology firms means internship programs here frequently focus on applied ML in domains like risk modeling, content recommendation, and clinical decision support.
Which New York cities have the most machine learning intern jobs?
New York, Jericho, and New York account for the most machine learning intern openings in New York. New York City dominates because of its dense cluster of financial institutions, advertising technology companies, and major health systems, while Buffalo and Albany attract postings from university research centers, state government technology initiatives, and regional insurers that have expanded their data science teams in recent years.
Are there remote machine learning intern jobs in New York?
Yes, and more than most fields. About 17% of machine learning intern openings tied to New York are remote or hybrid as of June 2026, reflecting how well model development, experimentation, and analysis translate to distributed work. The parts of the role most likely to remain fully on-site are those requiring access to proprietary data infrastructure or specialized GPU clusters managed by the employer.
How can I get hired as a machine learning intern in New York with little or no experience?
The most realistic entry path is applying through university-sponsored internship pipelines, since New York employers like IBM, Two Sigma, and major academic medical centers actively recruit from local campuses and offer structured programs designed for students without prior industry experience. Contributing to open-source ML projects or completing publicly available courses and documenting the results in a portfolio gives candidates a concrete edge. Adjacent roles such as data analyst assistant or research assistant positions at New York universities often serve as a stepping stone into a first ML internship.
Where can I find and apply to machine learning intern jobs in New York?
You can find and apply to machine learning intern jobs in New York on Migrate Mate, which lists current openings tied to the New York market. Search the listings to see roles that match your background, then apply directly to the ones that fit.
See All 6 Machine Learning Intern Jobs in New York
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