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Nvidia Machine Learning Internship Jobs in Manhattan, NY

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

Practical experience with deep learning: internships, undergrad or masters' level research projects ... Experience with NVIDIA GPU programming and CUDA * Experience with distributed training frameworks ...

Pangram

Machine Learning Engineer (Junior)

Manhattan, NY · On-site

$90 - $130/hr

Practical experience with deep learning: internships, undergrad or masters' level research projects ... Experience with NVIDIA GPU programming and CUDA * Experience with distributed training frameworks ...

Jane Street

Machine Learning Engineer

New York, NY

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of ...

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Nvidia Machine Learning Internship information

See Manhattan, NY salary details

$28.1K

$47K

$97.1K

How much do nvidia machine learning internship jobs pay per year?

As of Aug 30, 2026, the average yearly pay for nvidia 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 is an Nvidia machine learning internship?

An Nvidia Machine Learning Internship is a temporary, hands-on program for students or recent graduates to work with Nvidia’s teams on projects related to machine learning and artificial intelligence. Interns typically assist with research, data analysis, model development, and software engineering tasks using Nvidia’s cutting-edge GPU technologies. The internship provides valuable real-world experience, mentorship from industry experts, and the opportunity to contribute to innovative AI solutions. It’s a great way to build skills, expand your professional network, and potentially secure a full-time role at Nvidia in the future.

What types of projects do interns typically work on during the Nvidia machine learning internship?

During the Nvidia Machine Learning Internship, interns often work on real-world projects involving deep learning, computer vision, or natural language processing. These projects may include developing new models, optimizing existing algorithms, or contributing to open-source frameworks. Interns typically collaborate with experienced engineers and researchers, gaining hands-on experience while having access to state-of-the-art GPU hardware. The work environment encourages innovation and learning, and interns are often given opportunities to present their results to senior team members.

What are the key skills and qualifications needed to thrive as an Nvidia machine learning intern, and why are they important?

To excel as an Nvidia Machine Learning Intern, you need a solid foundation in computer science, mathematics, and machine learning concepts, typically supported by progress toward a relevant degree. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and GPU computing tools (e.g., CUDA) is essential. Strong analytical thinking, problem-solving skills, and effective teamwork set standout interns apart. These competencies enable you to contribute meaningfully to advanced AI projects and collaborate efficiently within Nvidia's innovative environment.

What is the difference between Nvidia Machine Learning Internship vs Data Science Internship?

AspectNvidia Machine Learning InternshipData Science Internship
Required CredentialsRelevant coursework, programming skills, possibly some machine learning certificationsStatistics, programming, data analysis skills, often a related degree
Work EnvironmentResearch labs, tech company offices, collaborative teams focused on AI/ML projectsBusiness environments, data analysis teams, cross-functional collaboration
Employer & Industry UsageTech companies, AI/ML research labs, hardware/software firms like NvidiaVarious industries including tech, finance, healthcare, and consulting

While both internships involve working with data and programming, Nvidia Machine Learning Internships focus specifically on developing and optimizing machine learning models in a hardware and AI context, whereas Data Science Internships emphasize analyzing data to derive insights across diverse industries.

What are popular job titles related to Nvidia Machine Learning Internship jobs in Manhattan, NY?

For Nvidia Machine Learning Internship jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Nvidia Machine Learning Internship jobs in Manhattan, NY look for?

The top searched job categories for Nvidia Machine Learning Internship jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Nvidia Machine Learning Internship jobs?

Cities near Manhattan, NY with the most Nvidia Machine Learning Internship job openings:

Nvidia Machine Learning Internship jobs near you

Machine Learning Engineer (Junior)

New York, NY • On-site

Pangram
See more jobs at Pangramexternal

$135K - $150K/yr

Full-time

Posted 12 days ago

Job description

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and monitoring production machine learning systems in real customer environments.
At Pangram, ML engineers are highly involved in the research effort, are involved in publishing research, and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary. This is an in-person role in our office in Downtown Brooklyn, NYC.
Responsibilities:
  • Build robust data pipelines that mine the Internet at scale and generate millions of synthetic text examples for training detection models
  • Manage distributed infrastructure for multi-GPU LLM training
  • Profiling and optimizing training and inference code
  • Deploy efficient inference pipelines for serving LLMs at scale

Requirements:
  • B.S. or M.S. in Computer Science or related areas
  • Practical experience with deep learning: internships, undergrad or masters' level research projects in an academic lab, Kaggle competitions, or interesting side projects
  • Strong programming skills in Python and modern ML frameworks
  • Excellent understanding of transformers and LLM fundamentals
  • Comfort working across research and engineering boundaries

Nice to have
  • Experience with NVIDIA GPU programming and CUDA
  • Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray
  • Experience with inference frameworks like vLLM
  • Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow)
  • Experience with MLOps and experiment tracking
  • Experience with DevOps tools
  • Familiarity with cloud-based infrastructure (AWS/GCP)

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