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Generative 3D Jobs in Virginia (NOW HIRING)

Leidos

Software Engineer

Reston, VA · On-site

$57K - $104K/yr

Integrate AI/ML capabilities , including Generative AI and LLM APIs * Collaborate across teams to ... Experience integrating COTS/GOTS tools , including 3D modeling, simulation, or visualization ...

Leidos

Software Engineer

Reston, VA

$57K - $104K/yr

Integrate AI/ML capabilities , including Generative AI and LLM APIs * Collaborate across teams to ... Experience integrating COTS/GOTS tools , including 3D modeling, simulation, or visualization ...

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Generative 3D information

What is the difference between Generative 3D vs 3D Modeler?

AspectGenerative 3D3D Modeler
Primary FocusUsing algorithms and AI to automatically generate 3D contentManually creating detailed 3D models based on specifications
Required SkillsProgramming, AI, procedural modeling3D modeling software, artistic skills
Work EnvironmentTech companies, AI labs, digital content creationDesign studios, gaming, animation
CertificationsComputer science, AI, 3D software proficiency3D modeling software certifications, art degrees

Generative 3D specialists focus on creating 3D content through algorithms and AI, automating parts of the modeling process. In contrast, 3D Modelers manually craft detailed models using software tools. Both roles are essential in digital content creation but differ in approach, skills, and work environment.

What is a generative 3d artist?

A Generative 3D artist is a professional who uses algorithms, code, and artificial intelligence to create three-dimensional visual content. They leverage generative design techniques and tools to produce complex, innovative 3D models, animations, and environments that may be difficult to achieve manually. These artists often work in industries such as gaming, film, architecture, and virtual reality, where procedural content and automation can enhance creativity and efficiency. Their expertise combines traditional 3D modeling skills with programming and a strong understanding of computational design.

What are some common challenges faced by professionals working in generative 3d roles, and how can they be addressed?

Professionals in Generative 3D often encounter challenges such as balancing creative freedom with technical constraints, managing computational resources for complex scenes, and ensuring compatibility across different software and platforms. Staying updated with rapidly evolving tools and algorithms can also be demanding. To address these challenges, it's helpful to engage in continuous learning, collaborate closely with both technical and artistic team members, and participate in industry forums to share solutions and best practices.

What are the key skills and qualifications needed to thrive as a generative 3d designer?

To thrive as a Generative 3D Designer, you need a solid background in 3D modeling, algorithmic or procedural design, and computer graphics, often supported by a degree in design, computer science, or a related field. Familiarity with tools like Blender, Houdini, Autodesk Maya, and programming languages such as Python or C++ is typically required. Creativity, problem-solving, and effective communication are crucial soft skills to excel when working with multidisciplinary teams and interpreting complex design briefs. Mastering these skills ensures the ability to create innovative 3D content efficiently, adapt to evolving technologies, and meet diverse project requirements.

What are popular job titles related to Generative 3D jobs in Virginia?

For Generative 3D jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Generative 3D jobs in Virginia look for?

The top searched job categories for Generative 3D jobs in Virginia are:

What cities in Virginia are hiring for Generative 3D jobs?

Cities in Virginia with the most Generative 3D job openings:

Generative 3D jobs near you

Research Intern on Generative and Protective AI for Content Creation

Sony

Hampton, VA • On-site

$50/hr

Other

Posted 13 days ago

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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