Machine Learning Engineer II United Kingdom, London
4 weeks ago
PlayStation is a global leader in entertainment, producing a range of products and services including PlayStation5, PlayStation4, and PlayStationVR. We are seeking a highly skilled Machine Learning Engineer II to join our team in London, UK.
The successful candidate will design, implement, and deploy machine learning and deep learning models and systems for high-impact consumer and enterprise applications. They will work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, including Computer Vision, Natural Language Processing, and Reinforcement Learning.
The ideal candidate will have a strong background in machine learning, a proven track record of delivering large-scale commercial machine learning products, and excellent problem-solving skills. They will be comfortable with ambiguity in projects and have expertise in a variety of machine learning algorithms, including supervised and unsupervised learning, NLP, and computer vision.
The Machine Learning Engineer II will work as part of a cross-functional team, collaborating with leaders from engineering and product teams to deliver impactful insights and build an increasingly dynamic and interactive experience for hundreds of millions of users and creators.
Key Responsibilities:- Design, implement, and deploy machine learning and deep learning models and systems for high-impact consumer and enterprise applications.
- Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, including Computer Vision, Natural Language Processing, and Reinforcement Learning.
- Implement the full machine learning development cycle, including data collection, preprocessing, feature engineering, model training, evaluation, and deployment.
- Create metrics to evaluate model performance and help the tech lead convey our impacts to product and business partners.
- Stay current with the latest advancements in machine learning and AI research and technology, and integrate relevant innovations into our products and services.
- Advanced degree (Master's or Ph.D.) in Computer Science/Statistics/Data Science, specializing in machine learning or equivalent experience.
- Strong programming skills in languages such as Python, Java, Scala, with proficiency in machine learning libraries and frameworks like TensorFlow, PyTorch, PySpark, etc.
- Proven track record of successfully delivering large-scale commercial machine learning products from conception to production.
- Excellent problem-solving skills and comfortable with ambiguity in projects.
- Expertise in a variety of machine learning algorithms, including supervised and unsupervised learning, NLP, and computer vision.
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