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Remote Game Mathematician Jobs in Colorado (NOW HIRING)

Remote Game Mathematician information

How much do remote game mathematicians make?

Remote game mathematicians typically earn between $60,000 and $120,000 annually, depending on experience, education, and the complexity of projects. They often work with programming languages, statistical tools, and game design software, and may need a strong background in mathematics, computer science, or related fields.

What is a remote game mathematician?

A Remote Game Mathematician is a specialist who designs and analyzes the mathematical aspects of games, particularly in the casino and video gaming industries, while working from a remote location. Their primary responsibilities include developing game logic, calculating odds and payouts, and ensuring games are both fair and profitable. They use advanced mathematical models, probability theory, and statistical analysis to balance gameplay and maintain regulatory compliance. This role often involves collaborating with game designers, developers, and compliance teams online.

How to become a remote game mathematician?

To become a remote game mathematician, develop strong skills in mathematics, programming, and game theory, often through a degree in mathematics, computer science, or related fields. Gaining experience with game development tools and algorithms, building a portfolio of relevant projects, and applying for remote positions through specialized job boards can help establish a career in this field.

What are the key skills and qualifications needed to thrive as a remote game mathematician, and why are they important?

To thrive as a Remote Game Mathematician, you need expertise in mathematics, probability theory, and statistical analysis, typically backed by a degree in mathematics, statistics, or a related field. Familiarity with programming languages (such as Python or R), game design software, and data analysis tools is commonly required. Strong problem-solving abilities, creativity, and effective communication are crucial soft skills for collaborating with game designers and development teams. These skills ensure the creation of engaging, balanced, and fair game mechanics that drive player retention and business success.

What is the difference between Remote Game Mathematician vs Remote Game Developer?

AspectRemote Game MathematicianRemote Game Developer
Required CredentialsMathematics degree, specialized in game theory or algorithmsComputer science or software engineering degree, programming skills
Work EnvironmentResearch-focused, analytical tasks, often in R&D teamsProgramming, coding, designing game features, collaborative development
Employer & Industry UsageGame studios, research labs, companies developing complex gamesGame studios, indie developers, entertainment companies
Search & Comparison IntentUnderstanding specialized roles in game design and developmentLooking for programming or development roles in gaming

The Remote Game Mathematician focuses on mathematical modeling, algorithms, and game theory to enhance game mechanics and design. In contrast, the Remote Game Developer is primarily involved in coding, designing, and building the actual game software. Both roles are essential in the gaming industry but differ in skill sets and daily tasks.

How does a remote game mathematician typically collaborate with game designers and developers during the creation of new games?

A Remote Game Mathematician works closely with game designers and developers by building mathematical models for game mechanics, balancing payout structures, and ensuring regulatory compliance. Collaboration usually involves regular virtual meetings, sharing simulations, and providing data-driven insights to refine gameplay features. Strong communication skills are essential, as you'll translate complex mathematical concepts into actionable feedback for non-technical teammates, helping to create fun and fair gaming experiences. Working remotely, you may use project management and collaboration tools to stay connected and aligned with the larger team.

Research Intern on Generative and Protective AI for Content Creation

Sony

Fort Collins, CO โ€ข On-site, Remote

$50/hr

Full-time

Posted 4 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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