Machine Learning Engineer II at Playstation

Read by 52 job seekers.

United Kingdom, London

Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

Mid-Level Machine Learning Engineer

London, UK

Do you want to join a Machine Learning team committed to enhancing the PlayStation experience for hundreds of millions of users and creators? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning and AI systems.

We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams-across Engineering and Product. Further, you will be immersed in groundbreaking ML/AI technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

You Will:

Design, implement and deploy various machine learning and deep learning models and systems for high impact consumer and enterprise applications ranging from online safety detections, LLM-enabled agents, to Computer-vision-driven operation automation, decision optimization and more.
Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of Computer Vision(CV), Natural Language Processing(NLP), Reinforcement Learning, Time Series Forecasting, as well as Generative AI such as Large Language Models.
Implement the full machine learning development cycle, including data collection, preprocessing, feature engineering, model training, evaluation, and deployment, and conduct rigorous testing and validation to ensure accuracy, efficiency, and scalability
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.
Work as ML/AI technical lead in complex product development effort, interfacing and collaborating with leaders from cross-functional teams, and representing ML/AI team in communication with key stakeholders and/or senior leadership.
Thought-lead and influence technology strategy and product roadmap through ML/AI lens, contributing into the development and execution of overall ML/AI strategy.

You Bring:

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, such as supervised and unsupervised learning, reinforcement learning, NLP, and computer vision
Hands-on experience with applying Generative AI technology to solve business problem
Experience with software engineering principles, big data stacks such as spark, and use of cloud services like AWS, or GCP for machine learning development and deployment
Effective communication to convey ML concepts to non-tech stakeholders

Preferred Qualifications:

Experience in Databricks, Snowflake, Seldon, mlFlow, PySpark, Kubeflow, Tecton
Hands-on experience in vector databases, RAG, open-source LLM models
Experience in building large-scale online customer-facing ML inference microservices
Experience with large-scale unstructured data (e.g., audio, images, documents, etc.) manipulation and processing
Contributions to the machine learning community through publications, open-source projects, or presenting in conferences and workshops
Experience working with custom ML platforms and monitoring of ML models
Familiarity with ethical considerations and best practices in machine learning, including fairness, accountability, and transparency

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Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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