PhysicsX - Senior Applied Engineer
Requirements
• Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. • Ability to work autonomously and scope and effectively deliver projects across a variety of domains. • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. • Excellent collaboration and communication skills — with teams and customers alike. • Scientific computing; • High-performance computing (CPU / GPU clusters); • Parallelised / distributed training for large / foundation models. • professional setting • scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); • distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); • cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); • building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; • C/C++ for computer vision, geometry processing, or scientific computing; • software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); • container-ization and orchestration (Docker, Kubernetes, Slurm); • writing pipelines and experiment environments, including running experiments in pipelines in a systematic way.
Responsibilities
• Work closely with our research scientists, simulation engineers, customers and partners to deliver AI models that address real-world physics and engineering problems. • Design and build physical foundation models with a focus on efficiently scaling model training to large data on multi-GPU cloud compute. • Transform prototypes from your research scientist colleagues into robust and optimised implementations, challenging architecture decisions that hurt scalability. • Identify and argue for the best libraries, frameworks and tools 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 curiosity and initiative among your colleagues and mentees.
Benefits
• Build what actually matters • Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. • Learn alongside exceptional people • Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. • Influence over hierarchy • We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. • Sustainable pace, long-term ambition • Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. • And it doesn’t stop there … • 🚀 Equity options - share meaningfully in the company you’re helping to build. • Equity options • 🏦 10% employer pension contribution - because investing in future matters. • 10% employer pension contribution • 🍽️ Free office lunches - to keep you energised and focused. • Free office lunches • 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. • Enhanced parental leave • 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. • YellowNest nursery scheme • ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. • ☀️ 25 days of Annual Leave (+ Public Holidays) • 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. • Private medical insurance • 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. • Wellhub Subscription • 👀 Eye tests - because good work depends on good health. • Eye tests • 📈 Personal development - dedicated support for learning, development, and leveling up over time. • Personal development • 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. • Employee Assistance Programme (EAP) • 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. • Bike2Work scheme and • Season ticket loan • 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. • 🔎 Watch this space, we’re continuing to build this as we grow… • We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. • We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
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