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Game Science Jobs in Vermont (NOW HIRING)

Champlain College

Adjunct Instructor

Burlington, VT · On-site

Game Design & Development * Psychology * Education * Law * Computer Science & Information Technology * Cybersecurity and Digital Forensics * Data Science & Analytics * Business and Marketing ...

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Game Science information

See Vermont salary details

$8

$22

$39

How much do game science jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for game science in Vermont is $22.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $25.29 per hour, depending on experience, location, and employer.

What is game science?

Game science is the interdisciplinary study of games, including their design, mechanics, player behavior, and the impact they have on individuals and society. This field combines elements from psychology, computer science, mathematics, and design to analyze and improve the effectiveness and enjoyment of games. Professionals in game science may work in academia, game development, or research, using scientific methods to understand what makes games engaging and how they can be used for entertainment, education, or training.

What are the key skills and qualifications needed to thrive as a game scientist?

To thrive as a Game Scientist, you need a strong background in mathematics, statistics, game theory, and data analysis, often supported by a relevant degree in computer science, mathematics, or a related field. Experience with analytical tools such as Python, R, SQL, and game analytics platforms like Unity Analytics or Unreal Engine Insights is common. Creativity, problem-solving, and clear communication skills help you design engaging game mechanics and convey insights to interdisciplinary teams. These skills and qualities are crucial for developing balanced, compelling gameplay experiences informed by data-driven insights.

How does a game scientist typically collaborate with game designers and developers during the game development process?

Game Scientists work closely with designers and developers to analyze player behavior, balance game mechanics, and optimize in-game economies. They often use data-driven insights to suggest adjustments that enhance player engagement and retention. Collaboration usually involves regular meetings, sharing analytical reports, and providing feedback on design prototypes, ensuring that gameplay remains both fun and fair. This team-oriented environment allows Game Scientists to have a direct impact on the final product and learn from professionals in related disciplines.

What is the difference between Game Science vs Game Designer?

AspectGame ScienceGame Designer
Required CredentialsBachelor's in Game Development, Computer Science, or related fields; knowledge of programming and game enginesBachelor's in Game Design, Creative Arts, or related fields; strong storytelling and creative skills
Work EnvironmentCollaborative teams in game studios, focusing on technical development and gameplay mechanicsCreative teams in game studios, focusing on concept development, story, and user experience
Industry UsageUsed across game development companies, especially in technical and research rolesPrimarily in design departments, focusing on game concept and user engagement

Game Science and Game Designer roles overlap in the gaming industry but focus on different aspects. Game Science emphasizes technical development, programming, and research, while Game Designers focus on creative concepts, storytelling, and gameplay design. Both roles are essential for creating successful games but require different skill sets and educational backgrounds.

What are popular job titles related to Game Science jobs in Vermont?

For Game Science jobs in Vermont, the most frequently searched job titles are:

What job categories do people searching Game Science jobs in Vermont look for?

The top searched job categories for Game Science jobs in Vermont are:

Game Science jobs near you
Infographic showing various Game Science job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $46,316 per year, or $22.3 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Barre, VT • On-site

$50/hr

Other

Re-posted yesterday

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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