Machine Learning Engineer (playstation™network)

Machine Learning Engineer (PlayStation™Network)

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 Group Corporation.

Machine Learning Engineer

3+ years of hands-on experience developing and deploying machine learning, deep learning, or statistical models in production environments.

Strong proficiency in Python and practical experience across the full ML lifecycle - data preprocessing, feature engineering, model training, evaluation, and deployment.

Proven ability to optimize model serving performance - improving latency, throughput, and memory footprint for large-scale real-time applications.

Experience building and maintaining ML pipelines and MLOps systems (e.g., Kubeflow, MLflow, Vertex AI, Airflow, SageMaker).

Familiarity with CI/CD, Docker/Kubernetes, and cloud platforms such as AWS or GCP for scalable experimentation and deployment.

Expertise in at least one core AI area: Computer Vision, Natural Language Processing, or Speech/Audio Understanding.

Hands-on experience with LLMs, Vision-Language Models, or Multimodal Foundation Models (e.g., BLIP-2, CLIP).

Knowledge of neural network optimization techniques such as quantization, graph optimization, pruning, or QAT for efficient deployment.

Experience in C++ inference optimization using frameworks such as ONNX Runtime, TensorRT, OpenVINO, or custom runtime kernels.

Proven research or publication record (conference papers, workshops, technical reports) is highly valued.

Preferred Skills

Experience with model evaluation frameworks, benchmark design, or downstream task adaptation.

Deep understanding of distillation and model adaptation for real-time or edge environments.

Participation and high-ranking performance in data science competitions (e.g., Kaggle, SIGNATE) is a strong plus.

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 or maternity, 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.