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About Us
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.
About Position
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.
Requirements
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 (<0.1T) MRI physics and hardware constraints.
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).
What we offer
- 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.
About Us
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.
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.
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.
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.
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 (<0.1T) MRI physics and hardware constraints.
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).
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 (<0.1T) MRI physics and hardware constraints.
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).
What we offer
- 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.
- 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.