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DeepSpin is a HealthTech startup on a mission to make Magnetic Resonance Imaging (MRI) universally accessible. Today, 7 out of 10 people globally lack access to this life-saving diagnostic tool. We are changing that. Driven by proprietary physics and AI-powered innovation, we are stripping away the multi-million dollar price tags and massive infrastructure requirements of traditional scanners to build affordable, mobile, ultra-low-field MRI systems. Backed by leading global VCs, we are expanding our world-class  Software R&D  team in  Berlin . This is a unique opportunity to join a high-impact team dedicated to bringing affordable medical imaging to billions of people worldwide. You will join our cross-functional  Software R&D team  in Berlin, working at the intersection of computational physics, sequence design, and machine learning. You will be responsible for building sequences, and reconstruction algorithms that define how our low-field hardware operates and captures diagnostic-grade images. Key Responsibilities In this role, you will play a crucial part in achieving market-leading image quality on our mobile low-field MRI systems. Your day-to-day responsibilities will include: Numerical Spin Simulations:  Develop and refine numerical spin models to model machine behavior and non-ideal field dynamics. Sequence Design & Optimization:  Design, implement, and optimize custom pulse sequences tailored for low-field. ML Integration:  Integrate physical MRI domain models into our deep learning pipelines to enhance control loops, parameter mapping, and image reconstruction. Image Reconstruction:  Analyze raw k-space signal data from prototype hardware and build robust image/signal reconstruction algorithms. We value high agency, first-principles thinking, and practical problem-solving. While we welcome applicants with diverse STEM backgrounds, ideal qualifications include: Required Qualifications Advanced degree (M.Sc. or Ph.D.) in Physics, Computer Science, Applied Mathematics, Biomedical Engineering, or a related quantitative field. 5+ years of experience applying computational mathematics and signal processing to MRI. Hands-on experience designing pulse sequences and processing/reconstructing raw MRI k-space data. Proficiency in Python and the scientific computing stack (PyTorch, NumPy, SciPy). First-principles thinking, proactive problem-solving, and fluent English communication skills. Preferred Qualifications Experience with low-field or ultra-low-field ( Familiarity with clinical MRI workflows, phantom/tissue scanning, and diagnostic requirements. Good foundation in software engineering best practices (version control, modular architecture, CI/CD). A strong scientific track record (publications in leading MRI/computational journals or conference presentations like ISMRM/MICCAI). Compensation:  A total package value of up to €120,000/year (consisting of an €70,000 - €80,000 base salary + benefits+ stock options). Culture:  A creative, collaborative workplace with flat hierarchies and open communication. International Team:  An English-first office with over 10 different nationalities driven by the same purpose. Perks:  Work from our penthouse office, enjoy company-sponsored lunches, regular team events, and access to Urban Sports Club, BVG (public transport), and lifestyle vouchers. Development:  High responsibility from day one, internal mentorship, and support for external training or certifications. Balance:  30 days of paid annual leave and flexible working hours. Relocation:  Support with visas, relocation logistics, and help finding local daycare for your children.