At RESONIKS, we combine acoustics, AI, and purpose-built hardware to transform quality control in manufacturing. Our technology detects hidden structural defects in metal components in seconds, faster, cheaper, and more reliably than traditional inspections, enabling fully automated, zero-defect production.

We’re a fast-growing deep-tech startup operating across the Netherlands, Finland, and Germany, solving hard problems at the intersection of machine learning and industrial applications. If you’re excited by real-world impact, cutting-edge technology, and the chance to shape the future of automated quality control, RESONIKS is the place to be.

We are seeking an exceptional ML Lead to lead our machine learning and computational acoustics initiatives. In this role, you will define RESONIKS’ long-term AI strategy, drive scientific innovation, and build the next generation of AI-powered resonance analysis systems. You will directly influence how acoustics, resonance, and AI converge to revolutionise the way metal components are inspected globally.

• Together with the Team, define and lead the AI research roadmap in acoustic signal processing and resonance-based defect detection.
• Oversee the full AI model lifecycle, from concept to deployment to continuous improvement.
• Identify and prioritise emerging AI and acoustics research areas to keep RESONIKS ahead of the industry.
• Represent the company in academic, industrial, and research partnerships.
• Lead development of novel ML/DL algorithms for analysing complex acoustic datasets.
• Integrate AI solutions seamlessly into our automated inspection systems.
• Manage large-scale acoustic data pipelines, from collection to preprocessing to analysis.
• Optimise computing infrastructure (cloud systems, distributed training, HPC).
• Work closely with software, hardware, product, and engineering teams to create value for our customers
• Communicate complex technical concepts to non-technical stakeholders, customers, and leadership.
• Mentor and guide AI researchers, engineers, and interns.

• 5+ years of relevant hands-on experience beyond academic research in Physics, Acoustics, Computer Science, AI, or a related field.
• Expertise in machine learning, signal processing, and computational modelling.
• Experience with sound classification, sound event detection, or other audio ML applications.
• Ability to apply AI techniques to complex physics or acoustics problems.
• Strong experience with ML frameworks such as PyTorch (preferred), TensorFlow, or JAX.
• Advanced programming skills (Python).
• Familiarity with cloud computing and distributed model training.
• Experience with patents, tech transfer, or commercializing AI research.
• Strong communication and cross-team collaboration skills.
• Leadership experience in research environments.

Join an early-stage, fast-moving team where your work shapes both the product and our company culture. At RESONIKS, you can:

• Be part of a creative, supportive environment with ownership, autonomy, and open collaboration.
• Work closely with diverse teams and grow both professionally and personally.
• Enjoy a meaningful and challenging role at a rapidly scaling deep-tech company.
• Access opportunities for training, skill development, and career progression.
• Benefit from a flexible working model (hybrid/onsite depending on role and business needs).
• Thrive in a culture of inclusion, where everyone is welcome, regardless of background or identity.
• Join in regular team events, from spontaneous lunches to our legendary team retreats.
• Be part of an international, mission-driven company shaping the future of industrial AI and quality inspection.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability, genetic information, or any other characteristic protected by law.