PhysicsX - Staff Machine Learning Software Engineer, Research
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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 industry • scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); • employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); • employing 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; • building or using C/C++ for computer vision, geometry processing, or scientific computing; • following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); • container-izing and orchestrating compute tasks (Docker, Kubernetes, Slurm); • writing pipelines and experiment environments, including running experiments in pipelines in a systematic way.
Responsibilities
• Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack. • Define necessary profiles to execute this strategy. • Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. • Nurture younger colleagues to grow their skillset and guide their professional development. • Align priorities with problem stakeholders, internal and external. • Set the technical direction for the stream and apply judgement and taste to drive progress. • Plan roadmaps with clear milestones for key decisions and outcomes. • Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. • Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. • 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. • 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. • 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.
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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