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Machine Learning Game Theory Jobs (NOW HIRING)

CD PROJEKT RED

$186K - $257K/yr

CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you'll be the key architect behind complex AI and game system integration, enabling novel ...

CD PROJEKT RED

Machine Learning & Game Tech Architect

$186K - $257K/yr

CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you'll be the key architect behind complex AI and game system integration, enabling novel ...

System One Holdings, LLC

Sr Data Consultant

Vienna, VA · On-site

Develop and implement advanced data analysis strategies using probabilistic, game theory, and ... Leverage machine learning, statistical modeling, and algorithms to support data-driven decision ...

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How much do machine learning game theory jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for machine learning game theory in the United States is $19.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Game Theory specialist, and why are they important?

To excel as a Machine Learning Game Theory specialist, you need a strong background in mathematics, computer science, machine learning algorithms, and game theory principles, generally supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, as well as experience with machine learning libraries (e.g., TensorFlow, PyTorch) and game-theoretic modeling tools, is essential. Analytical thinking, problem-solving, and the ability to communicate complex ideas clearly are crucial soft skills in this role. These competencies enable the development of robust models and strategies for real-world applications, driving innovation and effective decision-making.

How do professionals in Machine Learning Game Theory typically collaborate with cross-functional teams to develop robust models?

Professionals in Machine Learning Game Theory often work closely with data scientists, software engineers, and product managers to design and implement models that account for strategic decision-making and adversarial behaviors. Collaboration involves translating theoretical insights into practical algorithms, integrating them with existing machine learning pipelines, and iteratively refining models based on team feedback. Regular meetings and code reviews are common, ensuring that models align with project goals and are robust to real-world uncertainties. This interdisciplinary environment encourages continuous learning and fosters innovation.

What is a Machine Learning Game Theory specialist?

A Machine Learning Game Theory specialist is a professional who applies concepts from game theory—such as strategic decision-making and competition—to machine learning systems. They design algorithms that can anticipate and adapt to the actions of multiple agents, whether those are humans or other AI models. This role is crucial in fields like multi-agent systems, reinforcement learning, economics, and cybersecurity, where predicting and influencing the behavior of others is key. Specialists in this area often work in academia, research labs, or industries developing intelligent systems that must operate in complex, dynamic environments.

What is the difference between Machine Learning Game Theory vs Data Scientist?

AspectMachine Learning Game TheoryData Scientist
Required CredentialsAdvanced degrees in ML, mathematics, or related fieldsDegree in statistics, computer science, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness analytics, data analysis teams, tech companies
Industry UsageAI strategy, multi-agent systems, algorithm developmentData analysis, predictive modeling, business insights

Machine Learning Game Theory focuses on applying game-theoretic principles to machine learning models, often in multi-agent or strategic settings. Data Scientists analyze data to extract insights and build predictive models. While both roles require strong analytical skills and knowledge of machine learning, Machine Learning Game Theory emphasizes strategic interactions in AI systems, whereas Data Scientists focus on data-driven decision making.

Infographic showing various Machine Learning Game Theory job openings in the United States as of May 2026, with employment types broken down into 63% Full Time, 21% Part Time, 1% Temporary, 14% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $41,264 per year, or $19.8 per hour.

Machine Learning & Game Tech Architect

CD PROJEKT RED

Remote

$186K - $257K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Company Description

To create revolutionary, story-driven RPGs which go straight to the hearts of gamers - this is our mission. Want to dive deeper into our company's culture? Explore our social media and check out our YouTube channel and Beyond the Game Blog where we share behind-the-scenes insights and stories direct from our team members!

Job Description

CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you'll be the key architect behind complex AI and game system integration, enabling novel experiences and serving as a bridge between machine learning and game developers.

Responsibilities

  • Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems.
  • Design, develop and maintain learning and non-learning systems.
  • Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company.
  • Support programming and ML teams throughout development.
  • Establish and maintain quality guidelines for our ML applications.
  • Disseminate ML knowledge across the organization.
  • Improve the function of one's team, either through individual achievement or through leadership.
  • Maintain rich, thoughtful, candid communication with peers in order to ensure the very best results.
  • Gather, acknowledge, and respond to internal feedback, adjusting design and technological choices as necessary.
Qualifications
  • A minimum of 7 years of experience designing, implementing, and maintaining API's and applications.
  • Familiarity with classical AI concepts, such as symbolic processing and production systems.
  • Familiarity with Machine Learning: experience using leading ML libraries and platforms like TensorFlow, PyTorch and Keras.
  • Familiarity with modelling human behaviour and Reinforcement Learning is a strong plus.
  • Proficiency in C, C++, Rust, GO, or other system-level programming languages.
  • Proficiency in Python.
  • A track record of introducing ML solutions to traditional computer systems: experience in bringing ML systems into production, and inclination towards applied research.
  • History of working with high-performance computing and familiarity with the best practices in software optimization.
  • Familiarity with game engines and real-time simulations.
  • Intellectually curious. Humble and curious, constantly seeking learning opportunities, not limiting oneself to the bounds of role or company.
  • Autonomous: Proactive and self-driven. Capable of taking ambitious high-level goals, making a plan, driving it, and being accountable to the results.

Nice to haves:

  • Master's degree in the fields of Computer Science, Mathematics, Statistics or other data-rich domains, or have an equivalent level of expertise from industry experience.
  • Unreal Engine experience.
  • Residence in the Eastern Time Zone (North America) preferred.
Additional Information

The application window for this position will close by 10/30/2026.

This job can be hybrid/in-office or fully remote.

Health & Well-Being

  • Company-paid medical healthcare (dental, vision, and mental).
  • Free mental health support, including access to counseling, psychiatric care, and a variety of well-being webinars.
  • Paid leave - 26 days of vacation, 10 sick days, & 12 calendar holidays per year.
  • 401K with employer matching.
  • Lifestyle Spending Account (LSA) - $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more.
  • Menstrual leave - employees who menstruate can take one extra day off when experiencing period pain.
  • RED Parents Network - support for working parents, including childcare benefits, and family-friendly events.

Perks & Professional Growth

  • Flexible working hours.
  • Trainings, lectures, and courses - internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available.
  • A welcome pack filled with goodies - to help you feel right at home once you join the team.

Life in the Office

  • Dog-friendly office - bring your pooch with you and look after them while working! There's always a furry friend or two to meet.
  • Truly international working environment - a chance to meet and work with a diverse selection of people from all around the world.
  • No dress-code - we like to keep it casual.

This position is a new role.

Estimated pay range for this position: $186,900 - $257,000 USD annually

At CD PROJEKT RED compensation for our roles in North America are determined based on competitive market data, geographic location, and individual factors tied to business needs. The base pay range is subject to change and may be modified in the future. Final offers are dependent on job-related factors like experience, qualifications, and location.

If you've observed any irregularities (i.e. legal or ethical violations) in our recruitment process, please click here to report them anonymously.

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