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Data Science / Deep Learning Intern

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Breega

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Location:
France , Paris

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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
  • inclusive culture with 5+ nationalities

Additional Information:

Job Posted:
December 28, 2025

Work Type:
Hybrid work
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