Senior Machine Learning Engineer (Inverse Problems & PINNs)

Description

We’re looking for a Senior Machine Learning Engineer (Inverse Problems & PINNs) to join our team in afull-time, permanent capacity. In this role, you will contribute to cutting-edge solutions for semiconductor metrology solutions, contributing to research breakthroughs and production-scale implementations. If you are passionate about pushing the boundaries of scientific machine learning, we’d love to hear from you!

What is expected of you

• Education:

  • Master’s or Ph.D. in Computer Science, Applied Mathematics, Physics, Engineering, or related field.
  • Strong background in numerical methods, PDEs, and high-performance computing is highly desirable.

• Experience & Technical Skills:

  • Machine Learning & Deep Learning: 5+ years of professional experience applying advanced ML methods to scientific or quantitative problems.
  • Inverse Problems & PINNs: Hands-on experience with PINNs and inverse modeling techniques, including but not limited to PDE-constrained optimization and gradient-based methods.
  • Programming Languages & Libraries: Proficiency with Python, TensorFlow/PyTorch, NumPy, and related libraries for numerical computation.
  • Parallel Computing & HPC: Familiarity with GPU/TPU acceleration, distributed training, and parallelized computing techniques.
  • Software Development Practices: Experience with CI/CD, version control (Git), and agile methodologies.

• Soft Skills:

  • Excellent problem-solving abilities and strong analytical thinking.
  • Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
  • Proven track record of project ownership, from concept to deployment.

Our benefits

• Company ownership
• An office in the cool Werksviertel Munich neighbourhood
• Sport membership
• Relocation package including accommodation for the first few months
• Mobile phone and laptop
• Flexible hours

Who we are

QuantumDiamonds is dedicated to establishing a global quantum sensing platform, with a mission to drive progress across a spectrum of industries, including semiconductor manufacturing, biotechnology, and chemistry. Specializing in the design and manufacturing of sensors, our focus lies in creating instruments that facilitate non-destructive, nano-scale imaging of magnetic fields. This groundbreaking technology finds applications in diverse sectors, ranging from semiconductor manufacturing to medical diagnostics.

We have recently raised a substantial seed round and are looking to hire outstanding people and shape quantum sensing together.

Why join Quantum Diamonds?

• You'll get to build a company together with a super smart and welcoming team
• Our technology is the cutting edge of tomorrow, starting today and not in 10 years
• You'll get to make an incredible impact straight away
• You'll get the challenges and responsibility to catapult your career

What will you do

• Design and Develop Solutions for Inverse Problems:
  Conceptualize and implement robust ML pipelines to handle inverse problems, including parameter estimation, model calibration, and uncertainty quantification.

• Physics-Informed Neural Networks (PINNs):
  Develop and refine architectures leveraging physical laws and partial differential equations (PDEs) to guide network training and improve generalization.

• Research & Prototyping:
  Stay updated with state-of-the-art methods in inverse problems, scientific machine learning, and computational modeling. Conduct rapid prototyping and exploratory research to validate new ideas.

• Model Deployment & Scalability:
  Integrate ML models into scalable, production-ready systems. Work closely with other data scientists and software engineers to ensure smooth deployment and maintenance.

• Collaboration & Mentorship:
  Collaborate with cross-functional teams of scientists, data engineers, and domain experts. Provide technical leadership and mentorship to junior team members.