Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to ...
Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to ...
Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to ...
Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to ...
Diving into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning ...
Diving into relevant topics such as vision-physics modality association, feed-forward Gaussian splatting, world foundation model, human data incorporation, language modality, and spatial reasoning ...
Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to ...
Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to ...
Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to ...
Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to ...
Intern Gaussian Splatting information
What is an intern Gaussian Splatting?
An Intern Gaussian Splatting is an internship position focused on working with Gaussian Splatting, a computer graphics technique used to render 3D scenes efficiently by representing them as a collection of Gaussian functions. Interns in this role typically assist in research, implementation, and optimization of algorithms related to this technology, often within the context of rendering, computer vision, or machine learning. This position provides hands-on experience in advanced graphics techniques, usually requiring knowledge of programming, mathematics, and sometimes machine learning frameworks. Interns may also contribute to academic papers, prototypes, or production tools depending on the organization's focus.
What types of projects and tools will I likely work with as an intern in Gaussian Splatting, and how does this experience support future career opportunities in computer graphics or machine learning?
As an Intern in Gaussian Splatting, you can expect to work on projects involving novel rendering techniques, 3D reconstruction, and possibly neural representations of scenes. You'll likely use tools like Python, C++, and libraries such as PyTorch or TensorFlow for developing and testing algorithms, as well as visualization tools like OpenGL. This hands-on experience not only deepens your understanding of advanced graphics and machine learning methods but also prepares you for roles in research, computer vision, or graphics engineering. Additionally, you'll collaborate closely with researchers and engineers, gaining exposure to collaborative workflows and innovative problem-solving approaches.
What are the key skills and qualifications needed to thrive as an intern in Gaussian Splatting, and why are they important?
To thrive as an Intern focused on Gaussian Splatting, you generally need a strong background in computer science, mathematics, and 3D graphics, often supported by coursework or projects in computer vision or graphics. Familiarity with programming languages like Python or C++, experience with machine learning frameworks (such as PyTorch or TensorFlow), and knowledge of 3D rendering systems are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns contribute to research and collaborate within teams. These skills are crucial for efficiently implementing and evaluating advanced graphics algorithms in real-world or research-driven environments.
What is the difference between Intern Gaussian Splatting vs Intern Data Analyst?
| Aspect | Intern Gaussian Splatting | Intern Data Analyst |
|---|---|---|
| Required Credentials | Basic knowledge of computer graphics, programming, and mathematics | Basic understanding of statistics, Excel, and data visualization tools |
| Work Environment | Research labs, tech companies, or academic settings focused on graphics and visualization | Business, finance, or marketing departments analyzing data sets |
| Employer & Industry Usage | Primarily in computer graphics, visual effects, and research institutions | Across industries like finance, healthcare, and marketing |
Intern Gaussian Splatting focuses on visualizing and rendering techniques in graphics, requiring programming and mathematical skills. Intern Data Analyst involves analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are entry-level internships but serve different industry needs and skill sets.
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What are the most commonly searched types of Gaussian Splatting jobs?
The most popular types of Gaussian Splatting jobs are:
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What job categories do people searching Intern Gaussian Splatting jobs look for?
The top searched job categories for Intern Gaussian Splatting jobs are:
Research Intern - 3D Vision and Generation, Self-Driving
On-site, Remote
Applied Intution
Full-time, Internship
Posted 11 days ago
Job description
About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.
We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.
About the role:
We are looking for multiple passionate Research Interns to join the Research Group at Applied Intuition. The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist. We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions-including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA. Learn more at appliedintuition.com/research.
Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture. Improvements deployed to our system immediately help our customers with their programs and deliver value to our business.
At Applied Intuition, you will:
- Conduct research on 3D vision related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with applications to autonomous driving, and fundamental topics on 3D vision and generation with broader applications
- Work closely with the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences
We're looking for someone who has:
- Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects
- Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
- Passion for next-generation, scalable autonomy and robotics
Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.