1

Phd Research Internship Jobs (NOW HIRING)

Security Research Internship

New York, NY · On-site +1

$3.0K - $8.0K/mo

About the role We are seeking security research interns to join a top-notch security research team ... Pursuing Masters or PhD in Computer Science or Cybersecurity related field. * Experiences in ...

Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision ... Demonstrated research/software engineering experience: through previous internships, work ...

Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision ... Demonstrated research/software engineering experience: through previous internships, work ...

Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision ... Demonstrated research/software engineering experience: through previous internships, work ...

Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision ... Demonstrated research/software engineering experience: through previous internships, work ...

Showing results 41-60

Phd Research Internship information

See salary details

$2.1K

$6.4K

$7.8K

How much do phd research internship jobs pay per month?

As of Sep 14, 2026, the average monthly pay for phd research internship 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 is a PhD research internship?

A PhD research internship is a temporary position offered to doctoral students, typically during their studies, allowing them to gain practical research experience in a professional or academic setting outside their university. These internships provide opportunities to work on real-world problems, collaborate with experienced researchers, and apply academic knowledge to industry or institutional projects. They are valuable for building professional networks, enhancing research skills, and gaining insights into potential career paths after completing a PhD.

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

To thrive as a PhD Research Intern, you need strong analytical skills, advanced research methodology knowledge, and enrollment in or completion of a relevant PhD program. Familiarity with data analysis software (such as Python, R, or MATLAB), literature databases, and sometimes experience with laboratory or fieldwork tools is often required. Strong communication, problem-solving abilities, and adaptability help interns effectively collaborate and present findings. These skills ensure interns can contribute meaningful research, adapt to evolving project needs, and communicate results clearly within academic or industry settings.

What are some common challenges faced during a PhD research internship and how can they be addressed?

PhD research interns often encounter challenges such as adapting to a new research environment, managing expectations between their university and host organization, and learning new methodologies or tools quickly. Balancing ongoing doctoral work with internship responsibilities can also be demanding. To address these challenges, clear communication with both academic and internship supervisors, setting realistic goals, and proactively seeking feedback are essential. Building strong relationships within the host team can also help interns integrate smoothly and maximize the learning experience.
More about Phd Research Internship jobs

What cities are hiring for Phd Research Internship jobs?

Cities with the most Phd Research Internship job openings:

What are the most commonly searched types of Phd Research jobs?

The most popular types of Phd Research jobs are:

What states have the most Phd Research Internship jobs?

States with the most job openings for Phd Research Internship jobs include:

Infographic showing various Phd Research Internship job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$17.50 - $23.50/hr

Full-time

Re-posted 8 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped pioneer projects such as Megatron, MT-NLG, and DLSS. We build state-of-the-art foundation models and develop new methods to improve their reasoning, alignment, reliability, and ability to solve real-world tasks.

This internship will focus on algorithmic research at the intersection of reinforcement learning and large language models. You will design, implement, and evaluate new RL-based methods for improving LLM behavior, with a strong emphasis on hands-on experimentation and rapid prototyping at scale.

What you will be doing:

  • Develop and prototype reinforcement learning algorithms for large language models

  • Explore methods for improving reasoning, alignment, instruction following, and multi-turn interaction

  • Design experiments to evaluate model behavior, robustness, hallucination, and task performance

  • Implement research ideas in Python and PyTorch, and run experiments on large-scale GPU clusters

What we need to see:

  • Pursuing a PhD in AI, ML, CS, CE, EE, Math, Physics, or a related field

  • Strong background in reinforcement learning and natural language processing

  • Excellent programming skills, especially in Python

  • Experience with deep learning frameworks such as PyTorch

  • Comfort with experimental research, debugging models, and working with large-scale training pipelines

Ways to stand out from the crowd:

  • Publications or open-source contributions in RL, LLMs, alignment, reasoning, or post-training

  • Experience with RLHF, RLAIF, policy optimization, reward modeling, or agentic LLM systems

  • Strong intuition for both algorithms and large-scale implementation

If you are excited about using reinforcement learning to make language models more capable, reliable, and useful, this team could be a great fit.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.

You will also be eligible for Internbenefits.

Applications for this job will be accepted at least until May 10, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US