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Computer Science Phd Research Intern Jobs (NOW HIRING)

Samaya AI

ML Research Intern

Mountain View, CA · On-site

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Currently pursuing a PhD or Master's degree in Computer Science, Machine Learning, NLP, or a ...

Oakland University

Research Intern

Rochester, MI · On-site

$20/hr

Posting Details Posting Details Position Title Research Intern Department 2064 - Computer Science & Engineering Position Number X12010 Requisition No. TC06203 Salary Range/Pay Rate $20.00 hr Benefits ...

eNett

OR

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning ...

WEX, Inc.

PhD Intern - AI/ML/NLP Engineer

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning ...

WEX

OR

$35 - $43/hr

As a PhD Research Intern, you will apply your deep technical expertise to solve complex, real-world ... Currently enrolled in a PhD program in Computer Science, Artificial Intelligence, Machine Learning ...

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How much do computer science phd research intern jobs pay per month?

As of May 28, 2026, the average monthly pay for computer science phd 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 are the key skills and qualifications needed to thrive as a Computer Science PhD Research Intern, and why are they important?

To thrive as a Computer Science PhD Research Intern, you need advanced knowledge in computer science fundamentals, research methodology, and typically be enrolled in a relevant PhD program. Experience with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and present complex ideas clearly. These skills are essential for contributing to innovative research projects, publishing findings, and succeeding in a competitive academic or industry research environment.

What types of projects and collaborations can a Computer Science PhD Research Intern typically expect during their internship?

As a Computer Science PhD Research Intern, you will often work on advanced research projects that align with your academic interests and the organization's strategic goals. Interns typically collaborate closely with senior researchers, engineers, and sometimes cross-functional teams such as product or data science groups. Projects may involve designing experiments, developing prototypes, or publishing findings in academic venues. The environment is usually supportive of exploration and peer feedback, and you’ll have opportunities to present your work, gain mentorship, and contribute to impactful, real-world applications.

What does a Computer Science PhD Research Intern do?

A Computer Science PhD Research Intern typically contributes to cutting-edge research projects under the guidance of experienced mentors, often in an academic or industry setting. Responsibilities may include designing experiments, developing algorithms, conducting data analysis, and publishing findings in conferences or journals. The role is designed to provide practical research experience, sharpen technical skills, and foster collaboration with other researchers. Interns often have the opportunity to work on real-world problems and gain insights into the research and development process within the field of computer science.
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Infographic showing various Computer Science Phd Research Intern job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 95% Full Time, 2% Part Time, and 1% Temporary. Highlights an 67% Physical, and 33% Hybrid job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Research Intern - Applied Reinforcement Learning

Centific

Remote

$35 - $45/hr

Full-time

Posted 3 days ago

Job description

About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Job Description
PhD Research Intern - Applied Reinforcement Learning
Centific AI Research
Role Summary
Centific AI Research seeks a PhD Research Intern to design and evaluate reinforcement learning (RL) systems for agentic AI workflows. You will develop RL environments, reward models, and post-training pipelines for LLM-based agents, translating research into practical enterprise solutions.
Scope of Work
- End-to-end RL pipelines for agentic systems (simulation → training → evaluation)
- Alignment of LLM-based agents using RLHF, DPO, PPO, and emerging methods
- Design of reward functions, verifiers, and evaluation frameworks
- Simulation environments (digital twins) for enterprise workflows
- Scalable training and inference for RL-based systems
Example Projects
- Build a custom RL environment simulating a real-world enterprise workflow and train an agent using PPO or GRPO
- Develop a reward modeling pipeline from human feedback and evaluate alignment improvements
- Create an evaluation harness measuring reasoning, task success, and policy safety
- Prototype an agentic system with tool use and multi-step reasoning, integrated with RL training
- Document experiments, ablations, and findings for research and productionization
Minimum Qualifications
- PhD candidate in CS, ML, or related field with research in reinforcement learning or agentic AI
- Strong Python and PyTorch skills with GPU-based training experience
- Solid understanding of RL fundamentals (MDPs, policy gradients, value methods)
- Experience with LLMs and post-training techniques (RLHF, DPO, PPO, etc.)
- Strong experimentation practices (ablation, reproducibility, clear reporting)
Preferred Qualifications
- Experience with RL environments (Gymnasium, RLlib, Stable Baselines)
- Research in offline RL, model-based RL, or hierarchical RL
- Publications at top ML conferences (NeurIPS, ICML, ICLR, ACL)
- Experience with simulation, synthetic data, or multi-agent systems
- Distributed training and large-scale experimentation
Tech Stack
- PyTorch, CUDA; RL libraries (Gymnasium, RLlib, Stable Baselines)
- LLM frameworks and post-training tools (TRL, custom RLHF pipelines)
- Experiment tracking (Weights & Biases)
- APIs/services (FastAPI, gRPC); optimization (ONNX, TensorRT)
Logistics
Location: Palo Alto, CA (Preferred), Redmond, WA (Preferred) or Remote
Duration: 3-6 months
What We Offer
- Competitive stipend and real-world impactful projects
- Mentorship from researchers and engineers
- Access to modern GPU infrastructure
- Opportunities to publish and present research
Centific AI Research is an Equal Opportunity Employer. We celebrate diversity and are committed to an inclusive environment.
Rate: $35-$45 Hourly
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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