PhysicsX is hiring a Machine Learning Software Engineer, Research

Machine Learning Software Engineer, Research London, United Kingdom About Us PhysicsX is an innovative technological enterprise rooted in computational physics and motorsport engineering, dedicated to accelerating technological advancement through intelligent software solutions. We are developing an AI-powered simulation platform for engineering and manufacturing across advanced industries, enabling high-precision, multi-physics simulation through artificial intelligence inference throughout the entire engineering lifecycle, thereby unlocking unprecedented optimization and automation in design, manufacturing, and operational processes. What You Will Do • Collaborate closely with research scientists and simulation engineers to develop models addressing complex physics and engineering challenges. • Design, construct, and optimize machine learning models emphasizing scalability and efficiency. • Transform prototype model implementations into robust, optimized solutions. • Implement distributed training architectures for multi-node/multi-GPU training and explore federated learning capabilities. • Assist research scientists in designing, constructing, and scaling foundational models for scientific and engineering applications. • Identify optimal libraries, frameworks, and tools for modeling efforts. • Lead research work-streams at varying complexity levels. • Communicate research results and implications with colleagues and customers. • Translate research outcomes into reusable libraries, tooling, and products. • Create a supportive environment for colleagues with less ML/engineering experience. What You Bring to the Table • Passionate about developing machine learning solutions, particularly deep learning and probabilistic methodologies. • Ability to work independently and effectively deliver projects across diverse domains. • Strong analytical and problem-solving capabilities. • Exceptional collaboration and communication skills. • Advanced degree (MSc/PhD) in technical discipline with experience in: - Scientific computing - High-performance computing - Distributed model training Desired Experience: • 1+ years in data-driven roles with expertise in: - ML model scaling and optimization - Distributed computing frameworks - Cloud computing platforms - Python-based machine learning libraries - C/C++ for specialized computing - Software engineering best practices - Container technologies - Experimental pipeline development What We Offer • Equity options • 10% employer pension contribution • Complimentary office meals • Flexible working arrangements • Hybrid work environment • Enhanced parental leave • Comprehensive healthcare coverage • Professional development opportunities • Location-independent work flexibility We celebrate diversity and are committed to equal opportunity employment, actively encouraging applications from underrepresented groups in technology.