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Computer Generated Imagery Jobs (NOW HIRING)

Reality Defender

Audio ML Engineer II

New York, NY · Remote

$160K - $210K/yr

... and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust ... Master's or PhD in Computer Science, Machine Learning, Signal Processing, or related field. * Fresh ...

Reality Defender

Staff ML Engineer (Audio)

New York, NY · Remote

$185K - $235K/yr

... and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust ... PhD in Computer Science, Machine Learning, Signal Processing, or related field (or equivalent ...

Reality Defender

Staff AI Engineer (Audio)

New York, NY · Remote

$185K - $235K/yr

... and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust ... PhD in Computer Science, Machine Learning, Signal Processing, or related field (or equivalent ...

URBN

URBN Senior Data Scientist

Philadelphia, PA

... imagery and creative content to virtual try-on and beyond. You will drive the development ... You should be able to evaluate generated outputs not just quantitatively, but with a critical ...

URBN

URBN Senior Data Scientist

Philadelphia, PA · On-site

... imagery and creative content to virtual try-on and beyond. You will drive the development ... You should be able to evaluate generated outputs not just quantitatively, but with a critical ...

Grid Dynamics Holdings

Senior Product Manager

San Ramon, CA · On-site

$141K - $186K/yr

... AI-generated product and lifestyle imagery for e-commerce product pages. • Partner with ... in Computer Science, Engineering, or a related field. We offer * Opportunity to work on cutting ...

Shane Co.

Digital Merchandiser

Greenwood Village, CO · Hybrid

$16.75 - $19.75/hr

... imagery. Build and maintain category structures that support merchandising, marketing, and ... Curate, manage, and maintain user-generated content (UGC) across the website to enhance product ...

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Computer Generated Imagery information

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$66.2K

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How much do computer generated imagery jobs pay per year?

As of Jun 22, 2026, the average yearly pay for computer generated imagery in the United States is $66,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $71,000.00 per year, depending on experience, location, and employer.

Is CGI a good career?

Computer Generated Imagery (CGI) is a growing field within the visual effects and animation industries, requiring skills in 3D modeling, rendering, and software such as Maya or Blender. Careers in CGI can be rewarding for those with strong artistic and technical abilities, and opportunities exist in film, gaming, advertising, and virtual reality sectors. Job prospects often depend on portfolio quality, experience, and proficiency with industry-standard tools.

What jobs make $10,000 a month without a degree?

In the field of computer-generated imagery (CGI), high-paying roles such as freelance 3D artists, visual effects specialists, or motion graphic designers can earn $10,000 or more monthly through project-based work, especially with advanced skills in software like Maya, Blender, or After Effects. Success often depends on experience, portfolio quality, and client base, rather than formal education alone.

What is a Computer Generated Imagery job?

A Computer Generated Imagery (CGI) job involves creating visual content using computer software. CGI professionals work in industries like film, gaming, advertising, and architecture to produce 3D models, animations, visual effects, and digital environments. They use tools like Blender, Maya, or Unreal Engine to design realistic or stylized imagery. These roles require artistic and technical skills, including knowledge of rendering, texturing, and lighting.

What are the key skills and qualifications needed to thrive in the Computer Generated Imagery position, and why are they important?

To thrive in Computer Generated Imagery (CGI), a solid background in digital art, 3D modeling, animation, and visual effects, often supported by a degree in computer graphics, animation, or a related field, is essential. Mastery of industry-standard software such as Autodesk Maya, Blender, Adobe After Effects, and familiarity with scripting languages or rendering engines is highly valued. Strong attention to detail, creativity, teamwork, and effective communication skills help professionals excel in collaborative, deadline-driven environments. These qualifications ensure the creation of high-quality visual assets that meet project goals in film, gaming, advertising, or other media industries.

How do I get a job in CGI?

To get a job in Computer Generated Imagery (CGI), develop strong skills in 3D modeling, animation, and rendering using software like Maya, Blender, or Cinema 4D. Building a portfolio showcasing your work, gaining experience through internships or freelance projects, and understanding industry workflows are essential steps to entering the field.

What are the typical daily responsibilities of a Computer Generated Imagery (CGI) artist?

A CGI artist's day often includes tasks like creating 3D models, developing textures, animating scenes, and collaborating with directors and other designers to bring projects to life. You may also be required to review feedback, refine your work based on client or supervisor input, and ensure that graphics meet technical requirements and project deadlines. In many organizations, CGI artists work closely with teams in visual effects, post-production, and even sound or lighting departments for a cohesive final product. Attention to detail, flexibility in workflow, and the ability to troubleshoot technical challenges are key aspects of a typical workday.

How much do CGI artists get paid?

CGI artists' salaries vary based on experience, location, and industry, but entry-level positions typically start around $40,000 to $60,000 annually, while experienced professionals can earn over $100,000. Skills in software like Maya, Blender, or 3ds Max and a strong portfolio can influence earning potential.
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Computer Generated Imagery jobs near you
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

Mount Indie, LLC

Reston, VA

Other

Posted 5 days ago

Job description

Mount Indie is looking for a Machine Learning (ML) Engineer with documented expertise to be responsible for researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments. A candidate who has experience analyzing large datasets with preprocessing data skills, data cleansing, and conducting data integrity and validation actions. A candidate who will design, develop, and integrate ML models and algorithms to address specific problems with detection of AI-generated and manipulated imagery, or introduction of pattern recognition for imagery.

Successful candidates for this role must have critical thinking skills, be creative, curious, resourceful, and have a passion for conveying a wide range of information through research leading to deeper insights. The candidate may work independently but participate in project-wide reviews of requirements, system architecture, and detailed design documents. An ML Engineer must be able to collaborate well with a strong lean-forward attitude to shift knowledge left, deliver well, and produce quality results.

The selected candidate will play a critical role in bridging research and operations, integrating advanced algorithms into operational workflows. * Integrate and operationalize machine learning and computer vision models developed by research partners * Apply algorithms to datasets and generate results aligned with project requirements * Evaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization quality * Adapt and optimize models for real-world conditions (compression, noise, format variability) * Work with containerized solutions (Docker or similar) to support deployment and reproducibility * Translate research concepts, theory, and technical reports into practical implementations and workflows * Generate technical reports, visualizations, and summaries suitable for stakeholders * Collaborate with internal teams and external partners to support integration and testing * Participate in technical meetings and reviews within secure environments. Candidates must have a complete understanding and wide application of technical principles, theories and concepts.

Working under only general direction, provides technical solutions to a wide range of difficult problems. Independently determines and develops approach to solutions. Required Skills: Clearance Level: TS/SCI US Citizenship: Required * Years of Experience: 5-7 Years relevant data science experience * Education Level: Bachelor degree or Master's degree is required in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.

* 3+ years of experience in machine learning / computer vision / data science * Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow) * Experience working with image and/or video data * Ability to understand and implement research-level algorithms from technical papers and reports * Experience with model evaluation, validation, and performance analysis * Familiarity with Linux-based environments and version control systems (e.g., Git) Desired Skills: * Experience with image forensics, alteration detection, or related analytics * Experience working in classified environments * Familiarity with containerization (Docker) and deployment pipelines * Experience handling large-scale or multi-format datasets (JPG, WEBP, MP4, AVI) * Knowledge of synthetic data generation or explainable AI * Ability to bridge theory and implementation * Strong problem-solving and analytical skills * Effective communication with both technical and non-technical stakeholders * Comfortable working in structured, mission-driven environments Relevant Certifications: * Certifications in machine learning, data science, or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, IBM Machine Learning Professional Certificate, Google Professional Machine Learning Engineer Certification, IABAC: Certified Machine Learning Expert Certification, etc.

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