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Machine Learning Research Intern Jobs in Princeton, NJ

Quadrillion Labs, Inc

Research Intern

New York, NY · On-site

$300K - $500K/yr

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... Research experience in at least one area of machine learning or its neighbors (natural language ...

Oxman

Machine Learning Research Engineer

New York, NY · On-site

$142K - $184K/yr

D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields. * Demonstrated experience working in cross-functional teams bridging ML research with ...

Jane Street

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Jane Street

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

We are looking for a Research Engineer with robust experience in machine learning and strong mathematical foundations to join our growing ML team and to help drive the direction of our ML platform.

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the ... The ideal candidate will have strong machine learning, data science and software engineering skills ...

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All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Princeton, NJ

Machine Learning Research Intern information

See Princeton, NJ salary details

$26.7K

$44.6K

$92.2K

How much do machine learning research intern jobs pay per year?

As of Aug 30, 2026, the average yearly pay for machine learning research intern in Princeton, NJ is $44,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $48,200.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Princeton, NJ?

For Machine Learning Research Intern jobs in Princeton, NJ, the most frequently searched job titles are:

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The top searched job categories for Machine Learning Research Intern jobs in Princeton, NJ are:

What cities near Princeton, NJ are hiring for Machine Learning Research Intern jobs?

Cities near Princeton, NJ with the most Machine Learning Research Intern job openings:

Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 29% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $44,639 per year, or $21.5 per hour.

Research Intern, Generative AI & World Modeling

Basking Ridge, NJ • On-site

FUTUREWEI TECHNOLOGIES INC
Telecommunications • 201 - 500 employees
Learn more about FUTUREWEI TECHNOLOGIES INCexternal

Internship

Posted 4 days ago

Job description

Changing the world and user experiences through learned world knowledge is at the core of our team's mission. We are seeking a Research Intern with a strong foundation in statistics and applied mathematics to work alongside a diverse group of researchers. In this role, you will conduct fundamental research that bridges rigorous mathematical theory with state-of-the-art applications in machine learning, computer vision, computer graphics, and physical AI.


What You'll Do

  • Fundamental Research: Leverage statistics, probability theory, and applied math to develop novel algorithms for machine learning (ML), computer vision (CV), and computer graphics (CG).
  • Innovation & Prototyping: Translate core mathematical and statistical insights into scalable algorithms and open-source prototypes.
  • Academic Impact: Publish groundbreaking work in top-tier machine learning, computer vision, and computer graphics conferences and journals (e.g., NeurIPS, ICML, CVPR, and SIGGRAPH).

Requirements:

  • Ph.D. candidate with a strong background in statistics, probability, continuous optimization, linear algebra, or differential equations, with a passion for applying fundamental theory to real-world problems
  • Proven hands-on experience with SOTA machine learning algorithms, especially with generative machine learning and/or fine-tuning of LLMs/LVMs, and familiarity with ML implementation environments and platforms such as PyTorch and/or TensorFlow.
  • Deep knowledge and hands-on experience in computer vision and computer graphics are a plus.
  • Strong programming skills in Python or C / C++ for Windows and/or Linux are required.
  • Experience in working with open-source software frameworks is a plus
  • Self-motivated, detail-oriented team player

  • Good verbal and written communication skills

Duration of the job: 3-6 months

Employment Type: Intern

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