Staff Machine Learning Engineer

1 month ago

London, Greater London, United Kingdom Tbwa ChiatDay Inc Full time
Staff Machine Learning Engineer

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.

Key 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.
  • Contribute to the authorship of team research papers, presenting at relevant conferences.
  • Work with other teams to deploy machine learning models in production environments, ensuring scalability and performance.
  • Communicate complex technical issues to both technical and non-technical colleagues.
  • Stay current with the latest machine learning and artificial intelligence research, sharing information across the team.
  • Mentor junior members of the team, providing guidance and best practices.
  • Contribute to maintaining a culture of innovation, curiosity, and continuous learning within the team.
Requirements:
  • Master's degree in computer science, electrical engineering, robotics, statistics, mathematics, or a related field.
  • 6+ years in machine learning with published research papers and proven experience 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 and passionate individual who is committed to driving innovation and excellence in machine learning. If you're interested in exploring the intersection of machine learning and game technology, we'd like to hear from you.

PlayStation is an Equal Opportunity Employer and welcomes applications from diverse candidates. We strive to create an inclusive environment, empower employees, and embrace diversity.

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