Deep Learning Researcher - Paris - Spore

    Spore
    Spore Paris

    il y a 2 jours

    Description

    About the role

    As a Deep Learning Scientist specialized in Computer Vision, you will design and implement state-of-the-art models to extract and interpret complex patterns from biophotonic and microscopic data.

    You will collaborate closely with microbiologists and physicists to translate optical signals and biological phenomena into actionable insights through AI.

    Main Responsibilities

    • Develop, train, and optimize deep learning models (CNNs, Vision Transformers, self-supervised and generative approaches) for the analysis of biological and optical imaging data.
    • Implement state-of-the-art methods from the latest literature and adapt them to real-world biomedical contexts.
    • Translate research concepts into robust, scalable, and interpretable models ready for translational deployment.
    • Collaborate with the biophotonics and microbiology teams to design experiments, define learning objectives, and validate biological relevance.
    • Contribute to scientific publications, conferences, and patents showcasing advances at the intersection of AI and microbiology.

    About you

    Required qualifications/ experience :

    We value curiosity, initiative, and a growth mindset: not every box needs to be ticked to.

    • Strong foundations in Deep Learning theory and model architectures (CNNs, ViTs, Diffusion models, etc.).
    • PhD +5 years of experience in Computer Vision (segmentation, detection, contrastive or self-supervised learning).
    • Experience in translational research — bringing AI from proof-of-concept to real-world biomedical use.
    • Mastery of PyTorch and associated ecosystems (Lightning, TorchVision, HuggingFace).
    • Proven experience in defining an ambitious research project and building a team of high-level contributors.
    • Familiarity with data preprocessing pipelines, model interpretability, and performance evaluation.
    • (Bonus) Experience with clean code, testing, and deployment best practices (MLOps mindset).
    • Work in an innovative and rapidly growing startup.
    • Participate in exciting and impactful projects.
    • Evolve in a collaborative and stimulating work environment.
    • Opportunities for professional development and continuous training.

    What we offer

    We believe that flexibility and trust are important parts of a company. Our work environment reflects this thanks to:

    • Flexible remote: If you live in Paris, you can work from our office or from your place with no constraints.

    On top of that, we offer many perks such as:

    • a budget for remote work equipment
    • a Gymlib subscription for you to stay in shape wherever you are
    • premium health insurance (Alan in France)
    • a Swile card for your meals, if you are based in France
    • frequent team events and in-person gatherings every quarter

    Recruitment process

    • 30-min call with the Hiring Manager
    • A 1 hour technical case study followed by a debrief with team members
    • 45-min personality interview with two team members
    • 1 hour Founders interview
    • Reference calls

    You might also be invited to meet other team members at the office for a lab visit and a coffee

    This is a unique opportunity for someone who thrives on curiosity and has a genuine passion for technology. If you enjoy taking on challenges and solving complex problems, this role will provide the perfect environment for growth and impact. The ideal candidate is someone who is self-driven, eager to learn, and excited to contribute to shaping the future of microbiology monitoring. Join our innovative and dynamic team, and let's make a difference together We look forward to meeting you


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