Machine Learning Software Engineer - Research

Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain Transform prototype model implementations to robust and optimised implementations Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success Own Research work-streams at different levels, depending on seniority Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor

PhysicsX enhances the design and operation of machines in advanced industries using artificial intelligence and simulation technologies, focusing on sectors like renewable energy, healthcare, and transportation. Their AI-driven simulations help clients, including medical device manufacturers and aerospace companies, create more efficient designs and processes, such as improving artificial hearts and reducing vehicle emissions. The company operates on a project-based or long-term contract model, providing specialized services that lead to significant performance improvements. PhysicsX aims to unlock engineering breakthroughs that positively impact society.