11 Game Theory Jobs

About the job You will be joining a cutting-edge crypto hedge fund that specializes in mid and high-frequency trading strategies. We are looking for exceptional high-level mathematical talent to lead our quantitative research and development efforts in this dynamic field. As a Physics or Mathematics graduate with advanced analytical expertise, you will be responsible for developing sophisticated trading algorithms and innovative financial models specifically tailored for the cryptocurrency markets. Key Responsibilities Your main responsibilities will include designing and implementing advanced machine learning and closed form powered trading strategies. You will conduct quantitative research on market microstructure and trading opportunities, create predictive models using time series analysis and stochastic calculus, and analyze complex market patterns to develop innovative trading approaches. Required Qualifications Technical Expertise: - A degree in Engineering, Mathematics, Applied Mathematics, Statistics, or a related quantitative field - Advanced knowledge in Stochastic Calculus, Machine Learning/Artificial Intelligence, Game Theory, Time Series Analysis, Control Theory, and Pattern Recognition Soft Skills: - A research-driven mindset with exceptional analytical capabilities - Strong problem-solving skills - Ability to work both independently and collaboratively - Strong attention to detail - Thrives in high-pressure, fast-evolving environments - Critical thinking and rapid skill acquisition - Creative approach to complex technical challenges Ideal Candidate Profile The ideal candidate will be passionate about applying cutting-edge mathematical research to financial markets and excited by the technological and financial innovations in the cryptocurrency space. You should be comfortable with self-guided research and collaborative problem-solving and be adaptable to rapidly changing technological landscapes.,

As the Principal Machine Learning Scientist at Nykaa's AdTech Data Science team, you will play a crucial role in developing intelligent, ML-powered advertising products such as Sponsored Products, Display Ads, and Creative Personalization. Your primary responsibility will be to lead the development of foundational ML models and systems that drive the ad platform, collaborating closely with product, engineering, and business teams to address high-impact problems in advertising science. You should have a solid educational background with a Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Statistics, or a related technical field from a reputable institution. With over 10 years of experience in building production-grade ML systems, including at least 5 years in AdTech, performance marketing, or large-scale recommender systems, you should have a proven track record of delivering impactful ML innovations as a senior individual contributor. Your technical expertise should encompass domains such as CTR/CVR prediction, bidding dynamics, bid/budget optimization, multi-objective learning, campaign automation, target ROAS modeling, and generative AI for creative optimization. Proficiency in ML algorithms, reinforcement learning, Bayesian optimization, and game theory as applied to digital advertising is essential, along with fluency in Python and ML frameworks like PyTorch, TensorFlow, XGBoost, and libraries like LightGBM and Scikit-learn. In addition to technical skills, you should possess a passion for solving complex problems with scientific rigor and business impact, along with a deep ownership mentality and the ability to drive projects independently. Effective communication of technical concepts to cross-functional stakeholders, collaborative mindset, and a track record of influencing product direction through technical thought leadership are also crucial soft skills for this role. Your responsibilities will include designing and developing cutting-edge models for predicting ad outcomes, building intelligent automation systems for campaign management, developing generative models for optimizing ad creatives, owning the architecture of core components within the ad platform, and collaborating with Product and Engineering teams to design ML-first features that are measurable. Additionally, you will explore and prototype novel approaches using Reinforcement Learning, RLHF, contrastive learning, or LLMs for advertiser assistance or campaign agents, and contribute to thought leadership and innovation through internal whitepapers and external publications. Joining Nykaa's AdTech team will offer you the opportunity to be a key technical architect behind the company's growing AdTech ecosystem, work on cutting-edge problems at the intersection of ML, economics, personalization, and creative optimization, and shape the future of advertising on India's leading beauty and lifestyle platform with a focus on user delight and advertiser success.,

You will be part of a cutting-edge crypto hedge fund that specializes in high-frequency and machine-assisted trading strategies. We are looking for an exceptional PhD-level mathematical talent to lead our quantitative research and development efforts. As a PhD Physics or Mathematics candidate with advanced mathematical expertise, you will be responsible for developing sophisticated trading algorithms and innovative financial models in the dynamic cryptocurrency markets. You should have an advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Your key responsibilities will include designing and implementing advanced machine learning and AI-driven trading strategies, developing high-frequency trading algorithms using Python/C++, conducting quantitative research on market microstructure and trading opportunities, creating predictive models using time series analysis and stochastic calculus, analyzing complex market patterns, and developing innovative trading approaches. You will also be involved in researching, designing, and implementing AI-powered trading algorithms to predict market movements and optimize execution, developing and training machine learning models using historical and real-time market data, utilizing reinforcement learning and deep learning techniques for predictive modeling in financial markets, leveraging NLP and sentiment analysis for trading signals, optimizing AI models for real-time decision-making and high-frequency trading strategies, conducting backtesting and live simulations to evaluate model performance, and working with large-scale financial datasets using cloud-based AI/ML infrastructure. To excel in this role, you are required to have a PhD in Mathematics, Applied Mathematics, Statistics, or related quantitative field, along with advanced knowledge in Stochastic Calculus, Machine Learning/Artificial Intelligence, Game Theory, Time Series Analysis, Control Theory, and Pattern Recognition. In addition to technical expertise, we are looking for candidates with a research-driven mindset, exceptional analytical capabilities, strong problem-solving skills, ability to work independently and collaboratively, strong attention to detail, ability to thrive in high-pressure environments, critical thinking skills, rapid skill acquisition, and a creative approach to complex technical challenges. The ideal candidate for this position is passionate about applying cutting-edge mathematical research to financial markets, excited by cryptocurrency's technological and financial innovations, comfortable with self-guided research and collaborative problem-solving, and adaptable to rapidly changing technological landscapes.,

About Mobius: Mobius is redefining how machines learn and evolve, not just with data, but with theory, behavior, and context. The platform being built aims to enable software systems to adapt like organisms, evolve based on utility, and learn from their environment. At the core of Mobius lies the science of knowledge - how it is formed, shared, modified, and applied. Mobius is where learning transcends into architecture. The Role: As the Chief Knowledge Architect at Mobius, you will be responsible for leading the adaptive learning and behavioral modeling strategy across the platform. Your role will focus on ensuring that Mobius can simulate behaviors, modulate decision patterns, and evolve in response to changing goals or feedback. This position entails a unique blend of expertise in behavioral science, complexity theory, and computational modeling. What You'll Own: - Designing systems for agent behavior modeling based on goals and incentives - Developing adaptive learning mechanisms utilizing environment feedback - Implementing behavioral nudging and strategy evolution over time - Real-time graph rewriting to reflect changing knowledge - Facilitating emergent knowledge construction from swarm-level coordination - Defining the knowledge modulation layer for all reasoning and workflow systems - Collaborating with research teams to translate theoretical constructs into production systems What We're Looking For: - Minimum of 15 years of experience in AI, behavioral modeling, or adaptive system design - Proficiency in knowledge graphs, agent-based modeling, and cognitive modeling - Strong foundation in systems theory, learning theory, and decision sciences - Prior experience in building self-improving systems or recursive feedback architectures - Knowledge of game theory, complexity science, and socio-technical systems Bonus Points: - PhD or equivalent in AI, cognitive science, or complexity theory - Experience in translating theoretical science into software platforms - Previous work in dynamic graph processing, knowledge automation, or policy modeling Mobius is not seeking builders but architects of the future. If you envision software that thinks, adapts, and evolves, then Mobius is where your imagination meets reality.,

As an Operations Research Scientist at GreyOrange, you will be responsible for designing, developing, and implementing advanced models and algorithms to improve decision-making processes across various business functions. Your role will involve collaborating with cross-functional teams, including product development and engineering, to optimize processes, enhance product performance, and solve complex problems using mathematical and computational methods. The ideal candidate for this position should have a deep understanding of optimization, statistical modeling, and machine learning, along with a passion for addressing real-world challenges in a high-tech environment. You will be expected to: - Develop and apply advanced operations research models, such as optimization, simulation, and stochastic models, to address complex business challenges. - Collaborate with engineering, data science, and product teams to integrate operations research models into SaaS platforms for actionable insights. - Design and implement optimization algorithms (e.g., linear programming, mixed-integer programming, nonlinear optimization) to drive business efficiency and effectiveness. - Analyze large datasets and create predictive models using statistical and machine learning techniques to enhance decision-making processes. - Build mathematical models, simulations, and optimization algorithms to represent real-world systems or problems, using techniques like linear programming, dynamic programming, queuing theory, or game theory. - Construct simulation models to evaluate potential solutions and improve resource allocation, scheduling, and supply chain logistics. - Work with stakeholders to understand business requirements and translate them into mathematical models and algorithmic solutions. - Collaborate with cross-functional teams to implement solutions and communicate findings, insights, and recommendations to non-technical stakeholders through reports, presentations, or data visualizations. - Explain complex mathematical concepts and results in a clear and understandable manner to non-technical stakeholders. - Monitor solution performance, refine models based on feedback and new data, and stay updated on the latest advancements in operations research, machine learning, and optimization to develop innovative solutions. - Document models, algorithms, and analytical processes for future reference and team knowledge sharing, and generate reports summarizing analysis outcomes and model performance. Requirements: - Masters or Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related field. - Strong expertise in mathematical modeling, optimization techniques (linear programming, dynamic programming), and statistical analysis. - Proficiency in programming languages such as Python, R, C++, and experience with optimization tools (Gurobi, CPLEX, MATLAB). - Familiarity with data analysis, machine learning techniques, and simulation. - Excellent problem-solving skills and the ability to translate complex problems into actionable insights. - Strong collaboration skills and the ability to communicate complex concepts to non-technical stakeholders. - Experience managing or contributing to research projects in a fast-paced environment.,

You will be responsible for developing innovative game mathematics for various slot games, including classic slots, video slots, and progressive jackpots. This will involve calculating and analyzing game parameters such as RTP, variance, and hit frequency to ensure an engaging and balanced gameplay experience. In addition, you will collaborate with game designers and developers to align game mathematics with regulatory requirements and company standards. To qualify for this role, you should have an advanced degree in mathematics or a related field, along with a strong understanding of probability theory, statistics, and game theory. Previous experience in the gaming industry, particularly with slot games, is preferred. You must possess excellent analytical and problem-solving skills and be able to work both independently and as part of a team. This is a full-time position with a day shift schedule. The work location is in person, and the expected start date is 22/09/2025.,

As an analytical builder with a passion for user engagement and system optimization, you will play a key role in designing and implementing gamification systems to enhance user experience on our platform. Your ability to understand user behavior and translate it into actionable insights will be crucial in creating engaging and delightful experiences for our users. Working closely with our engineering and data teams, you will drive initiatives focused on gamification, engagement, and growth. Your responsibilities will include designing and optimizing gamification systems to drive long-term user engagement, monitoring user engagement loops using data-driven insights, and collaborating with other teams to improve content discovery and user matching. You will also work on developing sophisticated user behavior models, maintaining internal dashboards and analytics tools, and architecting scalable technical solutions in collaboration with engineering teams. Additionally, you will be involved in defining and tracking complex metrics, building A/B testing frameworks, and analyzing system performance to identify optimization opportunities. The ideal candidate for this role is someone who excels at thinking at the system level, with a strong ability to distill user interactions and behaviors. You should have at least 3 years of product management experience with a focus on growth, engagement, or platform systems, exceptional analytical and mathematical skills, and proficiency in tools such as SQL and Python for data analysis. Experience in designing gamification mechanics, working with recommendation systems, and translating technical concepts into product requirements will be valuable. Strong problem-solving skills, a background in user psychology or game theory, and familiarity with analytics platforms are also desirable qualities for this position. Joining our team will provide you with the opportunity to work on cutting-edge AI and machine learning technologies applied to real-life consumer problems. You will be a core member of our founding team, shaping the future of human connections in the AI era. In addition to meaningful equity, we offer competitive compensation that recognizes your contributions to our product experience. If you are passionate about user engagement, system optimization, and the potential of AI in shaping the future, we invite you to join us on this exciting journey.,

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, you're part of a diverse team of scientists, engineers, and machine learning experts collaborating to advance the state of the art in artificial intelligence. The technologies developed are aimed at benefiting the public and driving scientific discovery, while prioritizing safety and ethics. As a highly motivated and innovative Research Scientist in Bengaluru, you will focus on advancing multiagent systems for social impact. Your role involves conducting cutting-edge research on multiagent systems, particularly agents based on large language models (LLMs), with a specific emphasis on accelerating social impact. This position provides a unique opportunity to engage in fundamental AI research, collaborate with a world-class team, and witness the translation of your work into real-world applications. If you're passionate about shaping the future of social impact through AI and eager to make a significant difference in the evolving landscape of multiagent systems and AI agents, we encourage you to apply. You will be responsible for conducting cutting-edge research by developing novel algorithms, models, and techniques for multiagent systems. This includes pushing the boundaries of AI research in areas like multiagent reinforcement learning, bandit algorithms, and diffusion models. Your research will play a direct role in enhancing Google's multiagent capabilities, with a special focus on social impact. Additionally, you will design, implement, and evaluate the use of AI agents for social impact, exploring techniques to enhance model performance and robustness in real-world scenarios. Collaboration is key in this role, as you will work closely with other research scientists, engineers, and product teams at Google DeepMind. Your research findings will be shared through publications in top-tier conferences and journals, contributing to both the academic community and the development of impactful products. Moreover, you will witness the real-world impact of your research across various domains, potentially influencing future Google products and services. To stay at the forefront of AI research, you will continuously explore emerging trends and participate in international conferences and workshops to share your work and learn from others in the field. As a passionate and talented researcher with a strong theoretical foundation in AI, you are eager to conduct impactful research and collaborate with a team to address ambitious challenges. Your goal is to see your research translate into real-world impact that enhances lives. A Ph.D. in Computer Science, Artificial Intelligence, or related fields is required, along with a strong publication record in top-tier machine learning conferences or journals. You should have a solid understanding of multiagent systems research, including topics such as multiagent reinforcement learning, game theory, social choice, and bandit algorithms. Experience with ML frameworks such as JAX, TensorFlow, or PyTorch is essential. Additionally, familiarity with large language models, AI agents, large-scale model training, and deployment, as well as strong programming skills in Python or similar languages, will be advantageous. Excellent communication and collaboration skills are also necessary for this role.,

As a Game Designer with 2-3 years of experience in game development, you will be responsible for designing game mechanics, systems, and levels to enhance player engagement. You will collaborate with artists, programmers, and other designers to create engaging and immersive gameplay experiences. It is essential for you to have a strong understanding of game theory, player psychology, and UX/UI principles to succeed in this role. Your key responsibilities will include designing game mechanics, systems, and levels to enhance player engagement. You will create and maintain design documentation, balance gameplay elements for fairness and fun, conduct playtesting sessions, and analyze player behavior and metrics to refine game mechanics. Collaboration with artists, programmers, and narrative designers to ensure cohesive game design is crucial. Additionally, staying updated on industry trends, emerging technologies, and competitor games will be part of your responsibilities. To excel in this role, you should have a minimum of 2-3 years of professional experience in game design, proficiency in game design tools such as Unity, Unreal Engine, Figma, and Miro, and experience with level design, scripting, or balancing game economies. Strong communication skills, an excellent understanding of gameplay fundamentals, and a passion for game mechanics, accessibility, UI effectiveness, iterative design, and playtesting are highly desirable qualities. A game design degree would be a plus. If you are a creative and passionate Game Designer with a keen eye for detail and a drive to create innovative gameplay experiences, we invite you to join our team in Kolkata.,

- Looking for a game programmer who can primarily develop code for games - Strong knowledge on unity and c# - Should have excellent IT and programming skills - Should be able to think out of box. - Should have a logical approach to problem-solving