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Remote Undergraduate Machine Learning Internship Jobs in Manhattan, NY

Join us to gain handsโ€on experience in the exciting field of machine learning while working in a dynamic and collaborative remote environment. Responsibilities Assist in collecting, cleaning, and ...

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role Codertal is seeking a talented Machine Learning Engineer to join our growing AI and data science ...

Machine Learning Engineer

Manhattan, NY ยท Remote

$50 - $70/hr

Remote About The Job At Alignerr, we partner with the world's leading AI research teams and labs to ... Machine Learning Engineer - AI Data Trainer Type: Hourly Contract Compensation: $50-$70 /hour ...

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Remote Undergraduate Machine Learning Internship information

See Manhattan, NY salary details

$28.1K

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How much do remote undergraduate machine learning internship jobs pay per year?

As of May 28, 2026, the average yearly pay for remote undergraduate machine learning internship in Manhattan, NY is $46,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,900.00 and $50,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Undergraduate Machine Learning Intern, you generally need a foundation in programming (typically Python), statistics, linear algebra, and coursework in machine learning or data science. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is often expected. Strong problem-solving skills, self-motivation, and effective remote communication set top candidates apart. These competencies ensure interns can contribute to projects independently, collaborate virtually with teams, and adapt quickly to the evolving demands of machine learning tasks.

What types of projects and team collaborations can I expect during a remote undergraduate machine learning internship?

As a remote undergraduate machine learning intern, you can expect to work on projects such as data preprocessing, model development, and algorithm evaluation under the guidance of experienced mentors. Collaboration often happens through virtual meetings, code reviews, and shared platforms like GitHub or Jupyter Notebooks. You'll likely be paired with a team of data scientists or engineers and may contribute to both ongoing research and practical applications. Regular check-ins and feedback sessions help ensure your learning and integration into the team, fostering both technical growth and communication skills.

What is a Remote Undergraduate Machine Learning Internship?

A Remote Undergraduate Machine Learning Internship is a temporary, typically part-time position for undergraduate students to gain hands-on experience in machine learning while working from a location outside of a traditional office, such as their home. Interns work on real-world projects involving data analysis, model development, and coding under the supervision of experienced professionals. These internships help students apply academic knowledge, develop technical and soft skills, and build their resumes for future job opportunities in the field of artificial intelligence and data science.
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What cities near Manhattan, NY are hiring for Remote Undergraduate Machine Learning Internship jobs? Cities near Manhattan, NY with the most Remote Undergraduate Machine Learning Internship job openings:
Master's Fall Machine Learning Internship (ATG - Visual Search)

Master's Fall Machine Learning Internship (ATG - Visual Search)

Pinterest

Manhattan, NY โ€ข On-site, Remote

Other

Posted 4 days ago


Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.


What you'll do:

  • Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI.
  • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
  • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
  • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
  • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
  • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  • Write clean, efficient, and sustainable code
  • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers


What we're looking for:

  • This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs.
  • Ability to legally work full time (40 hours/week) from September-December 2026
  • Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
  • Proficiency with AI-native engineering, including the design of agent-friendly codebases.
  • High degree of autonomy in learning new agent-first development tools.
  • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
  • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
  • Experience in research and in solving analytical problems
  • Strong communicator and team player. Being able to find solutions for open-ended problems.

Preferred Qualifications:

    • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    • Strong passion for research and for answering hard questions with research
    • Passion for applied ML and the Pinterest product

Why Intern at Pinterest?

  • Meaningful Work: Contribute to projects that impact millions of users worldwide.
  • Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.


In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  • This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.


US based applicants only

The salary for this position is $11,00 monthly.

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Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.