Research Scientist Intern focused on generative AI and 3D generation within Meta Reality Labs.
Responsibilities
Research, develop and prototype advanced technologies in the domain of 3D Generation, Computer Vision, Computer Graphics, using ML methods including diffusion models, LLMs, and Agentic RL.
Deliver research results that are both publishable and have a direct impact on Reality Labs or Meta’s Family of Apps.
Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.
Requirements
PhD degree in computer science, electrical engineering, or related fields
Design work for electric and/or gas new construction, capital maintenance or system improvements, including project initiation, design preparation, cost estimates, and contracts.
Compensation
The compensation range for this position is provided in accordance with applicable laws and market practices. The final base salary offered may vary based on factors including, but not limited to, education, qualifications, certifications, experience, skills, seniority, geographic location, internal equity, performance, and business needs.
Responsibilities
Develop designs for new and expanded electric and/or gas utility service
Design systems based on rough sketches
Recognize and communicate design needs and errors
Translate code regulations or industry standards (IEEE, IEC, ANSI, etc.) into designs
Join NVIDIA’s Physical AI Technical Marketing team to help developers learn how to build AI systems that perceive and interact with the physical world. Work with engineers and educators to turn robotics and simulation workflows into tested labs, tutorials, and learning experiences. You’ll own a scoped project from a working example through learner testing and publication, helping developers and partners put NVIDIA technology into practice.
Compensation
The expected hourly rate for this position is 20 USD – 71 USD.
Responsibilities
Collaborate with technical marketing, product, engineering, and training teams to design learning content for a selected robotics, simulation, or AI workflow accurately
Build developer-friendly hands-on learning content with clear prerequisites, exercises, expected results, and troubleshooting guidance.
Test tutorials and lab environments from a new learner’s perspective; reproduce failures and work with engineers to resolve them.
Create reusable diagrams, short demonstrations, and knowledge checks that connect technical concepts to practical tasks.
Maintain learning materials in version control, incorporate learner feedback, and document updates so the content stays usable as software changes.
Adjunct Faculty in Graphic Design and Digital Arts and Design BS programs assisting students in design concepts and applications.
Responsibilities
Create an environment of learning through effective teaching skills
Maintain student-centered focus
Stay current with relevant industry standards
Utilize a variety of teaching strategies and encourage active learning
Perform lectures for campus courses and hold scheduled virtual course meetings
Requirements
Master’s or Bachelor's degree in Graphic Design, Communications, Illustration, Fine Art, Web Design, Digital Arts & Design, Motion Graphics, Multimedia, Emerging Media, Commercial Art, Advertising, Digital Media, or related discipline
Develop and deliver AI learning content for robotics and simulation workflows.
Compensation
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 71 USD.
Responsibilities
Collaborate with technical marketing, product, engineering, and training teams to design learning content for a selected robotics, simulation, or AI workflow accurately
Build developer-friendly hands‑on learning content with clear prerequisites, exercises, expected results, and troubleshooting guidance
Test tutorials and lab environments from a new learner’s perspective; reproduce failures and work with engineers to resolve them
Create reusable diagrams, short demonstrations, and knowledge checks that connect technical concepts to practical tasks
Maintain learning materials in version control, incorporate learner feedback, and document updates so the content stays usable as software changes
Requirements
Bachelor’s or Master’s in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or equivalent program area
A Research Scientist Intern will help advance the state of the art through ambitious research projects in generative AI and computational photography, focusing on 3D/4D reconstruction and world models.
Responsibilities
Research, develop and prototype advanced technologies in the domain of 3D/4D reconstruction/rendering, image and video diffusion, and world models, Gaussian splatting, neural fields or diffusion transformers.
Deliver research results that are both publishable and have a direct impact on Reality Labs or Meta’s Family of Apps.
Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.
Requirements
PhD degree in computer science, electrical engineering, or related fields
Nice to have: co-authored publications at top-tier conferences
Research Scientist Intern focused on AI Maps technologies at Meta Reality Labs
Responsibilities
Research, develop and prototype advanced technologies in the domain of Computer Vision and Machine Learning, with specific focuses including spatial reasoning, mapping, and localization.
Deliver research results that are both publishable and have a direct impact on Reality Labs or Meta’s Family of Apps.
Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.
Requirements
PhD degree in computer science, electrical engineering, or related fields