Senior Reinforcement Learning Engineer
hace 3 semanas
A5 Labs is the advanced technology group for online mobile gaming companies, some of the largest mobile gaming sites in the world. The group develops leading-edge security technology and creates innovative modern game designs. A5 bets on its people. Outstanding talent and achievement should be rewarded with a superior work environment, outsized incentives, and growth opportunities. If you are the best, you deserve the best. Not later. Now.
At A5 Labs, we power the future of online gambling with AI-driven experiences that set new standards in the industry.
We are seeking a talented Reinforcement Learning Engineer to join our team and lead the development of machine learning models and algorithms for various aspects of online poker. The ideal candidate will have a strong background in machine learning, data analysis, and a passion for poker.Key Responsibilities:
Lead the design, development, and implementation of machine learning models to improve various aspects of online poker game play, including player behavior analysis, game fairness, fraud detection, and game optimization.
Collaborate with cross-functional teams including product managers, software engineers, and data scientists to define project requirements and deliver high-quality solutions.
Conduct research and stay up-to-date with the latest advancements in machine learning and artificial intelligence techniques applicable to the online poker industry.
Perform thorough data analysis and experimentation to evaluate the performance of machine learning models and identify areas for improvement.Work closely with software engineers to integrate machine learning models into production systems and ensure scalability, reliability, and efficiency.
Mentor and provide guidance to junior members of the machine learning team, fostering a culture of continuous learning and professional growth.
Requirements:
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.5+ years of experience in machine learning.
Proven track record of designing and implementing machine learning models in real-world scenarios, preferably in the gaming or online gambling industry.
Proficiency in C++ and familiarity with machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.Solid understanding of probability theory, statistics, and algorithms, with experience applying them to solve complex problems.
Excellent communication skills and the ability to effectively collaborate with cross-functional teams in a fast-paced environment
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