Research Scientist Intern - Graphics, ML

Intel Corporation; Northern (KY); On-site; USD 171,000 - 172,000; Full time

Benefits offered by this job

Stock bonuses

Health insurance

Retirement plan

Paid vacation

Job summary

Intel Corporation seeks a Research Scientist Intern in Graphics/ML to advance real-time rendering and AI methods. You will work with leading researchers, researching algorithms, GPUs, and neural rendering techniques that could influence Intel graphics software and hardware.

You will publish findings while contributing to Intel products, with a focus on collaboration, novelty, and practical impact in graphics and AI research. This is a fully home-based internship in the United States.

Qualifications

• Pursuing a PhD with focus on graphics and ML.
• Strong programming in C/C++ and Python.
• Knowledge of ML concepts and frameworks (e.g., PyTorch).
• Experience with modern graphics APIs and shading languages.

Responsibilities

• Conduct cutting-edge research in real-time 3D rendering and ML.
• Collaborate with researchers to develop graphics/AI techniques.
• Contribute to publications and Intel products.
• Optimize graphics workloads and investigate performance improvements.

Skills

Real-time rendering

Machine learning

Parallel algorithms

Graphics research

C/C++

Python

Git and collaboration

Education

PhD in Computer Science or Electrical Engineering (graphics/ML)

Tools

CUDA

PyTorch

OpenGL/Vulkan/DirectX

GLSL/HLSL

Job description

## Research Scientist Intern - Graphics, MLApply: Virtual US: Full time: Posted Today: End Date: December 30, 2026 (30+ days left to apply): JR0287525# **Job Details:**## Job Description:The Graphics Research Organization at Intel is seeking a highly motivated Research Scientist Intern to join its world-class team. This role offers an opportunity to help shape next-generation graphics technologies and experiences by conducting cutting-edge research in real-time 3D rendering, machine learning, and highly parallel algorithms. As an intern, you will collaborate with industry-leading researchers to develop innovative graphics and AI techniques. Your work may contribute directly to Intel's graphics hardware and software products while advancing the state of the art in both industry and academia through research publications. We are looking for curious, collaborative, and technically strong candidates who are passionate about graphics research, possess excellent communication skills, and are eager to explore new ideas that drive innovation.## **Qualifications:****Minimum Qualifications*** Currently pursuing a PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer graphics and machine learning.* At least 1 year of academic, research, or industry experience in:- Modern C/C++ and Python programming.- Machine learning concepts, algorithms, and frameworks such as PyTorch.- Advanced graphics techniques including rasterization, ray tracing, physically based rendering, light transport, sampling strategies, acceleration structures, level of detail, shading, appearance modeling, and Monte Carlo methods.- Graphics APIs such as OpenGL, Vulkan, or DirectX, and/or shading languages including GLSL and HLSL.- GPGPU programming technologies such as CUDA, SYCL, or OpenCL. **Preferred Qualifications*** Publications in top-tier computer graphics, computer vision conferences, or journals.* Strong foundation in linear algebra, numerical optimization, probability, and statistical estimation.* Experience with image processing and computer vision techniques, including multi-scale filtering, Fourier transforms, optical flow, feature alignment, and image segmentation.* Familiarity with vision transformer models such as DINO, CLIP, and V-JEPA.* Experience developing neural rendering applications, including super-resolution, denoising, and deblurring.* Research or software engineering experience through internships, industry roles, open-source contributions, or competitive programming.* Experience applying machine learning techniques to real-time graphics problems.* Understanding of GPU architectures, graphics workloads, and performance optimization.* Experience with profiling, debugging, and performance analysis tools. This internship is ideal for PhD students who want to push the boundaries of graphics and AI research while contributing to technologies that impact millions of users worldwide.## Job Type:Student / Intern## Shift:Shift 1 (United States of America)## Primary Location:Virtual US## Additional Locations:## Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.## ## Position of TrustN/A## BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.Annual Salary Range for jobs which could be performed in the US: $170,598.00-170,602.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.**Work Model for this Role**This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. \\* Job posting details (such as work model, location or time type) are subject to change.The application window for this job posting is expected to end by 12/30/2027