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Join a startup making the world’s most unique sensor, as a Data Science / Deep Learning intern for 6 months - starting January! At InSpek, we develop innovative optical microchip technologies to monitor biochemical processes in real time. Our sensors measure key parameters — molecules, temperature, acidity, oxygenation, and more — directly at the core of reactions. This helps produce medicines, food, and energy more efficiently while reducing waste. We are looking for a Deep Learning & Spectral Modeling Intern to support our R&D efforts on InSpek’s next-generation optical sensors. You will work closely with our AI application team on challenging topics such as Deep Learning raman spectroscopy modeling, synthetic data generation, transfer learning, and robust spectral prediction. Our mission: build deep learning models that can generalize across instruments and experimental conditions by leveraging real and synthetic spectral data.
Job Responsibility:
Develop and train advanced deep learning architectures using PyTorch or TensorFlow
implement augmentation, transfer learning and domain adaptation pipelines (CORAL, MMD, adversarial learning)
create classic synthetic Raman spectra using Instrument-response simulation and cross-instrument modeling
explore generative deep learning approaches for synthetic data (GANs and VAEs, Autoencoder-based latent space sampling)
evaluate the impact of synthetic data on model performance and generalization
Requirements:
Currently pursuing a degree in Data Science, Deep Learning, Machine Learning, or related fields
meaningful hands-on deep learning experience from a previous internship or serious academic project
strong interest in synthetic data generation, simulation, and signal processing
good communication skills in English
you speak French and English (both useful in our bilingual lab!)
Nice to have:
Experience with GANs, VAEs, or autoencoders is a strong plus
familiarity with spectroscopy or 1D signal processing is a plus
curious, rigorous, and comfortable in a multidisciplinary environment
proactivity, creativity, and all the soft skills that will help build the success of InSpek with us!
What we offer:
Meal vouchers
flexible remote work policy
unique opportunity to be part of an innovative startup
GymLib account (sports)
regular social events
full integration into the team, including technical and coordination meetings
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