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Machine Learning Intern Jobs in Bellmore, NY (NOW HIRING)

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Past intern projects have been the focus of demos to VCs and state-level policy leaders.

Microsoft AI

Machine Learning

Manhattan, NY · On-site

Preferred : • Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning ...

New

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 Bellmore, NY

Machine Learning Intern information

See Bellmore, NY salary details

$25.9K

$43.3K

$89.4K

How much do machine learning intern jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning intern in Bellmore, NY is $43,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 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 popular job titles related to Machine Learning Intern jobs in Bellmore, NY? For Machine Learning Intern jobs in Bellmore, NY, the most frequently searched job titles are:
What cities near Bellmore, NY are hiring for Machine Learning Intern jobs? Cities near Bellmore, NY with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you

Machine Learning Intern

GPTZero

New York, NY • On-site

Internship

Medical, Dental, PTO

Posted 17 days ago

Job description

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 Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.
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

At GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.

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