Staff Machine Learning Engineer
2 weeks ago
At PlayStation, we're pushing the boundaries of innovation and technology to create immersive gaming experiences. As a Staff Machine Learning Engineer, you'll be a key contributor to our research team, driving technical excellence and innovation in the field of machine learning.
Responsibilities:- Design and implement novel machine learning models and algorithms to solve diverse tasks in game development.
- Perform data analysis and cleaning to uncover insights and patterns, and contribute to the authorship of team research papers.
- Work with other teams to deploy machine learning models in production environments, ensuring scalability and performance.
- Present findings to stakeholders, communicating complex technical issues to both technical and non-technical colleagues.
- Stay current with the latest machine learning and artificial intelligence research, and help communicate information across the team.
- Mentor junior members of the team, providing guidance and sharing best practices.
- Contribute to maintaining a culture of innovation, curiosity, and continuous learning within the team.
- Help foster an inclusive and diverse work environment, where every team member feels valued and respected.
- Master's degree in computer science, electrical engineering, robotics, statistics, mathematics, or a related field.
- 6+ years of experience in machine learning, 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.
- Excellent problem-solving, communication, and interpersonal skills.
We're looking for a talented Staff Machine Learning Engineer to join our dynamic and forward-thinking organization. If you're passionate about machine learning research, driving innovation, and sharing the future of gaming, we'd like to hear from you.
Sony is an Equal Opportunity Employer, and we strive to create an inclusive environment that empowers employees and embraces diversity.
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