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Graph Research Intern Jobs (NOW HIRING)

GenBio AI

Research Scientist Intern

Palo Alto, CA · On-site

$8K - $10K/mo

Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra ... Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). * Hands-on ...

GenBio AI

Research Scientist Intern

Palo Alto, CA

$8K - $10K/mo

Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra ... Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). * Hands-on ...

NEC Labs

DSSS - Research Intern 2026

Princeton, NJ

... graph mining, and more. The goal of our research is to thoroughly understand the dynamics of big data from complex systems and create groundbreaking solutions to help end user managing those systems.

NEC Labs America

DSSS - Research Intern 2026

Princeton, NJ · On-site

$6K - $8K/mo

... graph mining, and more. The goal of our research is to thoroughly understand the dynamics of big data from complex systems and create groundbreaking solutions to help end user managing those systems.

Nokia

AI-ML Systems Research Intern

Murray Hill, NJ · Hybrid

AI-ML Systems Research Intern Number of Position(s): 1 Duration: 10 Weeks Date: June 2026 to August ... Knowledge of computational graph representations (e.g., ONNX, MLIR, XLA, TorchScript) and model ...

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How much do graph research intern jobs pay per month?

As of Jun 6, 2026, the average monthly pay for graph research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What types of projects or problems do Graph Research Interns typically work on during their internship?

Graph Research Interns often work on projects related to analyzing complex networks, such as social, biological, or knowledge graphs. This can involve tasks like designing and implementing algorithms for graph traversal, community detection, or link prediction. Interns may also assist in developing scalable data processing pipelines and contribute to research papers or technical reports. Collaboration with experienced researchers and engineers is common, providing exposure to both theoretical and applied aspects of graph analytics.

What does a Graph Research Intern do?

A Graph Research Intern typically assists in exploring and developing algorithms, models, or applications that involve graph theory or graph-based data structures. Their work often includes tasks such as analyzing complex networks, implementing graph algorithms, conducting experiments, and collaborating with research teams to solve real-world problems using graphs. These interns may also contribute to publishing research findings or improving existing graph processing tools. The role is ideal for students or recent graduates with a strong background in computer science, mathematics, or related fields.

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

To thrive as a Graph Research Intern, you need a solid background in mathematics, algorithms, and computer science, typically supported by coursework or a degree in a related field. Familiarity with programming languages like Python or Java, experience with graph libraries such as NetworkX or Neo4j, and knowledge of data analysis tools are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top candidates in this position. These skills enable interns to contribute meaningful research, interpret complex data relationships, and collaborate efficiently on innovative projects.
Infographic showing various Graph Research Intern job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Research Scientist Intern

GenBio AI

Palo Alto, CA • On-site

$8K - $10K/mo

Internship

Posted 3 days ago

Job description

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
Job Description:
  • You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  • You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  • Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models.

Qualification:
  • M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
  • Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
  • Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
  • Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
  • Familiarity with software engineering best practices (version control, documentation, etc).

Nice to Have:
  • 3 year PhD student and above.
  • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
  • Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
  • Hands-on experience working at the intersection of AI and Biology.
  • Experience in large-scale distributed training and inference.
  • Open-source contributions, especially if used by others.

$8,000 - $10,000 a month
Join us as we embark on this journey to redefine the future of biology and medicine.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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