Principal Data Scientist

Location

Department

Reports To

elangovan@algosoftware.io

Mission:

lead the evolution of our AI core

Key Responsibilities

• Lead the development and evolution

   of our AI core, currently built in C++, towards the next generation of algorithms and architectures.
• The main responsibility is to lead the evolution of our AI core to the next level.
• Included the opportunity to get visibility as an industry expert through the publishing of papers, conferences, and so on, to make it more appealing.
• Design, implement, and optimize advanced RL algorithms tailored for imperfect information games.
• Research and integrate state-of-the-art techniques in RL, neural networks, and game theory to enhance AI performance and scalability.
• Collaborate with cross-functional teams to identify challenges and innovate AI-driven solutions.
• Evaluate and fine-tune AI models for decision-making, strategy optimization, and real-time applications in gaming.
• Profile, optimize, and troubleshoot the AI core for high-performance execution across different computing architectures (e.g., CPU, GPU, or custom accelerators).
• Document methodologies, experiments, and results to ensure transparency and reproducibility.

Required Skills and Qualifications

• Bachelors, Master’s, or Ph.D. in Computer Science, Mathematics, Physics, Artificial Intelligence, or a related field.
• 10+ years of experience in AI/ML, with a strong focus on Reinforcement Learning and Neural Networks.
• Proficiency in programming languages commonly used in AI, such as C++, Python, Julia, or others relevant to your expertise.
• In-depth understanding of game theory, especially concepts like Nash equilibrium and strategies in imperfect information games.
• Expertise in RL frameworks and tools like OpenSpiel, RLlib, or similar libraries tailored for game AI.
• Strong knowledge of RL algorithms, and experience with neural network architectures.
• Familiarity with parallel computing, performance profiling, and optimization techniques.
• Excellent problem-solving skills, with the ability to work independently and in a team.

Preferred Skills

• Experience with multi-agent RL or hierarchical RL in gaming contexts.
• Background in poker AI or similar imperfect information games.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of distributed systems, parallel programs, or cloud-based AI deployments.
• Published research or contributions to open-source AI projects in RL or game AI.

What We Offer

• The opportunity to work on cutting-edge AI applications in gaming and lead innovations in imperfect information games.
• Support for publishing research papers, presenting at conferences, and gaining visibility as a world domain expert in the field.
• A collaborative and intellectually stimulating work environment with a team passionate about pushing the boundaries of AI.
• Flexibility and resources to experiment with state-of-the-art techniques and contribute to open-source projects.

Soft Skills

• Effective communication for collaborating with cross-functional teams and presenting complex ideas clearly.
• Passion for innovation and driving the next generation of AI in gaming.

Compensation & Benefits:

• Competitive salary

  commensurate with experience.

• Performance-based incentives

  tied to achieving key financial and strategic goals.
• Opportunities for career growth within a fast-scaling tech group.