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Pytorch Internship Jobs in New York (NOW HIRING)

Internship Program

New York, NY

$18.25 - $23.75/hr

PyTorch, TensorFlow, or JAX * Hardware: Arduino, PCB design, or embedded systems * Design: Figma ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

PyTorch, TensorFlow, or JAX * Hardware: Arduino, PCB design, or embedded systems * Design: Figma ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Internship Program

New York, NY

$18.25 - $23.75/hr

PyTorch, TensorFlow, or JAX * Hardware: Arduino, PCB design, or embedded systems * Design: Figma ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Numpy, Pandas, PyTorch, etc.) * Knowledge of version control (Git) and software CI/CD tools and ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Numpy, Pandas, PyTorch, etc.) * Knowledge of version control (Git) and software CI/CD tools and ...

Agentic AI Engineer

Edison, NJ · On-site

$116K - $139K/yr

... or PyTorch). • Academic or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

Exposure to deep learning frameworks (PyTorch, TensorFlow), MLOps/observability (MLflow, OpenTelemetry), containers (Docker, Kubernetes), or CI/CD. * Prior internship, capstone, or project work ...

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Pytorch Internship information

What types of projects and collaborative experiences can I expect during a PyTorch Internship?

During a PyTorch Internship, you can expect to work on hands-on machine learning and deep learning projects that involve developing, testing, and optimizing models using the PyTorch framework. Interns often collaborate closely with research scientists, software engineers, and product teams to contribute to real-world applications and open-source initiatives. You may participate in code reviews, brainstorming sessions, and weekly progress meetings, gaining exposure to both independent tasks and team-based problem-solving. This environment fosters both technical growth and communication skills, preparing you for advanced roles in AI and machine learning.

What are the key skills and qualifications needed to thrive as a PyTorch Intern, and why are they important?

To thrive as a PyTorch Intern, you need a solid background in Python programming, machine learning fundamentals, and familiarity with deep learning concepts, typically evidenced by coursework or project experience. Proficiency in PyTorch, version control systems like Git, and tools such as Jupyter Notebooks is highly valued. Strong problem-solving skills, attention to detail, and effective communication help interns contribute meaningfully to team projects and learn quickly. These skills and qualities are crucial for efficiently developing, testing, and deploying machine learning models in a collaborative environment.

What is the difference between Pytorch Internship vs Machine Learning Intern?

AspectPytorch InternshipMachine Learning Intern
Required SkillsProficiency in Pytorch, Python, deep learning conceptsPython, machine learning algorithms, data analysis
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, research institutions, data-driven companies
Industry UsageDeep learning projects, neural network developmentBroader ML applications, data modeling

Both roles involve working with machine learning, but a Pytorch Internship specifically focuses on deep learning frameworks like Pytorch, while a Machine Learning Intern may work across various ML techniques. The Pytorch Internship is ideal for those specializing in neural networks and deep learning, whereas the Machine Learning Intern role covers a wider range of ML applications.

What is a PyTorch internship?

A PyTorch internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with the PyTorch deep learning framework. Interns typically assist with machine learning projects, develop and test models, and contribute to research or product development involving artificial intelligence. These internships provide valuable exposure to real-world applications of AI, opportunities to collaborate with experienced engineers and researchers, and a chance to enhance programming and problem-solving skills. Many internships also offer mentorship and may lead to full-time roles in the field.
What cities in New York are hiring for Pytorch Internship jobs? Cities in New York with the most Pytorch Internship job openings:
Infographic showing various Pytorch Internship job openings in New York as of July 2026, with employment types broken down into 2% Internship, 72% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

AI Research Scientist - Intern [2027 Summer]

Two Sigma Investments, LP

New York, NY • On-site

$5.5K/wk

Temporary, Internship

Medical, Dental, Retirement

Posted 16 days ago


Job description

AI Research Scientist - Intern [2027 Summer]
Location
NY New York
United States
Business
Investment Management
Function
Quantitative Research
Experience Level
Internship
Share this job
Position Summary
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world's most complex economic problems.
We are looking for creative experts who are interested in applying general Machine Learning and specifically Deep Learning, Large Language Models, and Reinforcement Learning techniques to many types of problems in complex systems, and particularly those with large amounts of noisy data.
This role is only open to MS with work experience and PhDs, both in their penultimate year of study.
You will take on the following responsibilities:
  • Develop effective techniques and/or infrastructure for a specific project/idea under guidance of an experienced member of the team over a time of roughly 10 weeks during the summer
  • In our research environment, you will write code, use the latest AI and machine learning tools, run experiments, discuss approaches and results with others, and generally develop techniques and processes to help improve our understanding of how financial data influences the world around us

You should possess the following qualifications:
  • Working towards a degree in Computer Science, Engineering, or other STEM field, preferably in a PhD program, or in a Master's program with some prior work experience
  • Excellent programming skills in Python (familiarity with Rust/Java is a plus) and deep knowledge of Tensorflow and/or PyTorch
  • Internships/work/course experience using Deep Learning, LLMs and/or Reinforcement Learning
  • Preferably practical experience writing and using data pipelines to handle large amounts of noisy data for machine learning problems
  • Preferably some relevant research experience (that may have led to publications at NeurIPS, ICML, ICLR or similar)
  • Understanding of basic statistics
  • Experience with cloud computing environments and multi-machine setups
  • Curiosity and interest in learning about financial data modeling in a collaborative environment

The weekly base pay for this role will be between $5,000/Week (MS) and $5,500/Week (PhD) based on academic degree conferred. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.