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Machine Learning Game Theory Jobs (NOW HIRING)

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company aside, we thoroughly enjoy: - Fine food and beverages - Movies and shows (during Game of ... in various machine and deep learning applications/design especially regarding neural networks ...

Tyto Athene, LLC

Machine Learning Engineer

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape ... Understands ML theory outside of the current trends, e.g. knows pre-LLM NLP theory and how ...

Neurable, INC

Machine Learning

Cambridge, MA

Company aside, we thoroughly enjoy: - Fine food and beverages - Movies and shows (during Game of ... in various machine and deep learning applications/design especially regarding neural networks ...

Tyto Athene, LLC

Machine Learning Engineer

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape ... Understands ML theory outside of the current trends, e.g. knows pre-LLM NLP theory and how ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... the theory and motivations behind the techniques, as well as how to implement them in the ML ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... the theory and motivations behind the techniques, as well as how to implement them in the ML ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... the theory and motivations behind the techniques, as well as how to implement them in the ML ...

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms ... Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... Good candidates will be excited about things like optimization theory, regularization techniques ...

Jane Street

Machine Learning Engineer

New York, NY

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading ... Good candidates will be excited about things like optimization theory, regularization techniques ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... the theory and motivations behind the techniques, as well as how to implement them in the ML ...

Advatix, Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110K - $165K/yr

You are a fundamentally strong machine learning builder who cares equally about theory and production. You enjoy reading research papers, developing novel approaches, and translating ideas into ...

New

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models ...

Spotify

Machine Learning Engineer

New York, NY

$148K - $212K/yr

You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models ...

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

As of Jun 6, 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 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.

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 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.

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

Machine Learning

Neurable, INC

Cambridge, MA • On-site

Full-time

Posted 26 days ago

Job description

Company Description
Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience, enables people to control hardware and software in real-time with their brain via a non-invasive cap. We have enabled users to control remote control cars, computer programs, wheelchairs, and more. Currently we are directing Neurable for virtual and augmented reality applications.
Job Description
We are currently looking for a Machine Learning Scientist/Researcher to join our team.
We would like to advance our current methods of identifying brain activity, using novel machine learning algorithms to increase reliability and accuracy. You will be working alongside our team of developers, but mostly with our CEO, advancing our intellectual property. We are looking for someone who is able to, not only implement, but also, create machine learning algorithms, specifically ones that improve speed, accuracy, and the elimination of muscle artifacts. Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data is preferred.
Our ideal candidate is the type of person who constantly wants to push the boundary of what is (im)possible. We are working in a field and creating a technology with functionalities that have never existed before. At Neurable we embrace failure and respect persistence. If you like tinkering, are curious by nature, consider yourself a technologist or someone who thinks several steps ahead...we would like you to join us, or at least meet us, or come to our office and play some video games (we have all the latest VR/AR technology). We are a small group adding to the banality of "work hard, play hard" but only because it is true.
Company aside, we thoroughly enjoy:
- Fine food and beverages
- Movies and shows (during Game of Thrones season, our CEO Ramses, also a near chef, cooks everyone dinner while we watch on his 12' by 12' projector screen)
- Video games (we own every console from the ColecoVision, 1982, to the latest in virtual reality systems)
- Adventures (ask us about what happened one fateful night on Mt. Nacheesmo)
- Dogs (we have two in our office)
Qualifications
- Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected)
- Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab
- Strong understanding of data structures, algorithms, and design patterns
- Good written communication and documentation abilities
- Comfortable in a small, intense, and high-growth environment
- Ability to rapidly prototype real features in a startup environment
- You know and can admit when something is not great. You can recognize that something you did needs improvement - we're not all perfect
- You can respectfully tell someone else something they did is not great, because they are not perfect
- Creativity and desire to push boundaries
- Desire to create a positive change in the world
- Experience with Computer Vision, Signals Processing preferred
- Must be authorized to work in the United States
Additional Information
All your information will be kept confidential according to EEO guidelines.

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