Reinforcement Learning Engineer, (Game Theory, Poker)

Detalles de la oferta

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. If you've ever enjoyed an online casino game, there's a good chance our technology and innovation were at play. Known as a hidden gem of innovation in the iGaming sphere, we're now seeking a Senior Machine Learning Engineer. This role demands a keen understanding of tech, especially within AI development for games, and a track record of success to fuel our continued growth.

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.

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. Skills: 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. Benefits: In return you'll benefit from becoming part of a team that's shaping the future of online gaming, but it also means you'll be rewarded in ways that truly reflect your contribution and talent, which includes an industry leading base salary, plus uncapped bonuses for outstanding contributions paid out as a result of quarterly performance reviews, ensuring your hard work and impact are acknowledged and compensated. Embrace the freedom of flexible working hours and a remote-only mentality that lets you work from anywhere—be it from the comfort of your home or a café in another country, alongside our diverse team of over 250 professionals from 32 countries. We'll also equip you with a technology allowance to ensure you have the best tools at your disposal and an unlimited holiday allowance to ensure you stay fresh and rested.



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Salario Nominal: A convenir

Fuente: Jobleads

Requisitos

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