You will use TensorFlow or PyTorch, Python, and CV/graphics libraries, plus 3D engines like Unreal or Unity, to develop generative models for graphics and video. As part of the Visual Computing Group, you'll design neural networks and ML for PlayStation's game rendering and live

You will work with Python, cloud-native data infrastructure (AWS S3/GCS, Terraform), and tools like Spark, Polars, Dask, DuckDB, Airflow, and container orchestration. You will design and build scalable data pipelines and storage systems (Parquet, Zarr, HDF5) to power predictive models of cellular behaviour for drug discovery at Relation Therapeutics.

You will work with TensorFlow or PyTorch, Python, computer vision/graphics libraries, and neural network architectures (convolutional, transformer, diffusion). As part of the Visual Computing Group, you will develop and deploy generative models for game rendering and live streaming R&D, aiming to improve runtime efficiency, visual quality, and latency.

You'll work with Python, Kubernetes, SLURM, Temporal, and HPC/cloud infrastructure (CoreWeave) to build and operate simulation data pipelines for PhysicsX's AI-driven multi-physics simulation platform. The role involves orchestrating thousands of CFD simulations daily, implementing geometry preprocessing and post-processing workflows, managing data quality validation, and delivering ML-ready datasets—sitting between research scientists, ML engineers, and infrastructure teams with end-to-end Data Factory ownership.