Research Engineer - Machine Learning
- Imitation Learning Development : Design, develop and implement novel machine learning techniques to solve diverse tasks in game development.
- Research and Innovation: Contribute to the authorship of team research papers, presenting at relevant conferences.
- Data Analysis: Perform data analysis and cleaning to uncover insights and patterns.
- Collaboration and Creativity: Work with cross-functional teams to deploy machine learning models in production environments, solving issues and ensuring scalability and performance.
- Communication: Present findings to stakeholders, communicating complex technical issues to both technical and non-technical colleagues.
- Continuous Learning: Stay current with the latest machine learning and artificial intelligence research, attending top-tier conferences and communicating information across the team.
- Prototyping: Quickly prototype new ideas and technologies to evaluate relevance and performance.
- Inclusive Culture: Contribute to maintaining a culture of innovation, curiosity, creativity, and continuous learning within the team.
- Education: Master's degree in computer science, electrical engineering, robotics, statistics, mathematics, or a related field. PhD is a plus.
- Domain Expertise:
- 2+ years in machine learning (in industry or academia) with published research papers and proven expertise in Imitation Learning and Reinforcement Learning
- Expertise in programming languages and frameworks relevant to machine learning, including Python, NumPy and Pytorch.
- Strong understanding of data analysis, mining and preprocessing
- Research Ambition: A passion for pushing the boundaries of artificial intelligence and a commitment to publishing in top-tier conferences and journals
- Interpersonal Skills : Excellent problem-solving, communication and interpersonal skills
- Passion for Gaming: An interest in gaming and exploring the intersection of machine learning and game technology is desirable.
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