Senior AI/ML Engineer

We are expanding our R&D team with a Senior AI/ML Engineer who combines strong mathematical foundations with applied machine learning expertise to enhance the next generation of intelligent acoustic sensing solutions., As a Senior AI/ML Engineer, you will apply machine learning to real-world underwater acoustic sensing challenges using Optics11's fiber-optic technology platforms. You will work closely with acoustics engineers, signal-processing specialists, and embedded/software teams to develop robust ML components that integrate seamlessly into operational systems., * Develop and implement machine learning solutions for underwater acoustic sensing use cases, including detection, classification, localization and anomaly monitoring within fiber-optic sensing systems.

• Select and adapt modelling approaches based on data availability, operational constraints and system requirements.
• Apply strong foundations in applied mathematics, statistics and signal processing (e.g., beamforming, spectral analysis, detection pipelines) and integrate these with modern data-driven ML techniques.
• Design, train, evaluate and benchmark AI/ML models, ensuring robustness, generalization and deployment readiness.
• Validate models rigorously across laboratory experiments and offshore field datasets, with clear performance tracking and reproducible experimentation.
• Analyze and interpret large-scale experimental and real-world fiber-optic sensing datasets, contributing to scalable workflows for data preparation, labelling and augmentation.
• Support technical trade-offs between accuracy, interpretability, latency and real-time or embedded constraints.
• Collaborate closely with acoustics engineers, signal processing specialists, software and embedded teams to integrate ML components into operational acoustic sensing pipelines.
• Translate complex AI/ML results into clear technical insights that inform system-level engineering decisions.
• Contribute to strong engineering practices, including version-controlled experiments, documentation, traceability, validation standards and continuous improvement of ML components.
• Stay informed about advances in AI/ML for time-series analysis, sensor fusion and signal-informed learning, and prototype promising approaches that complement the broader technology stack.

Do you have a Master's degree?, This role requires a strong foundation in signal processing, applied mathematics, and statistics, and the ability to combine physics-based acoustic algorithms with data-driven ML methods., * MSc in Machine Learning, Signal Processing, Applied Mathematics, Computer Science, Physics, or a related field.

• Strong foundation in linear algebra, probability, statistics, and signal processing.
• Proven experience applying AI/ML methods to time-series or sensor data, including techniques such as: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) (e.g., LSTMs), Transformer-based architectures for time-series learning.
• Supervised and unsupervised learning approaches for detection and classification.
• Hands-on experience with model training, evaluation, and validation in applied settings.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• Ability to work in an applied R&D environment with experimental and field data, balancing model performance with real-world constraints.

Nice to Have

• Experience with underwater acoustics, sonar, or beamforming-related applications.
• Knowledge of embedded or real-time deployment constraints.
• Experience with sensor fusion, self-supervised learning, or physics-informed ML.
• Familiarity with offshore, defense, or industrial monitoring domains.
• Familiarity with structured ML development processes such as CRISP-ML(Q) or similar lifecycle and quality frameworks.

• Competitive salary .
• Innovative high-tech, international organization .
• The opportunity to work in a cross-functional and interdisciplinary environment .
• A lot to learn and to develop, we stimulate personal development .
• Lunches.