Senior Machine Learning Engineer (P4)

San Francisco, CA

Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? 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 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 technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

You Will:

• Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from content personalizations, search, information extraction to online safety, virtual assistant, time series forecasting and more.
• Work with a broad spectrum of state of the art machine learning and deep learning technologies, in the areas of recommendation systems, natural language processing, reinforcement learning, time series forecasting.
• Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
• Collaborate with cross-functional teams of technical members and non-technical members in architecture, design and code reviews.
• Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
• Produce reusable code according to standard methodologies in Python, Scala or Java

You Bring:

• Masters degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experience
• Experience with Python, and Scala or Java
• Experience in developing ML models (CNNs, GNNs) for structured, unstructured data
• Industry work experience in designing and implementing large-scale machine learning-based solutions that ideally include: recommender systems, search ranking engines, personalization, and A/B testing.
• Strong machine learning, statistical knowledge

Preferred Qualifications:

• Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlib
• Experience with Databricks, Spark, Tecton, Kubernetes, Helm, Jenkins
• Familiarity with standard methodologies in large-scale DL training/Inference
• Experience with reducing model serving latency, memory footprint
• Experience in cloud-based environments, such as AWS
• Experience working with custom ML platforms

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