Back

Research Engineer / Deep Learning Engineer (Computer Vision) – CDI

ShareID is hiring!

About

ShareID delivers real-time, secure authentication using official ID documents and a simple smile. Our AI-powered solution verifies IDs from over 120 countries with 99.9% accuracy, confirms document ownership, and ensures user liveness—without storing personal data. With our patented technology, users get a reusable digital identity and ongoing access to verifiable credentials.

Our mission is to transform authentication by making it seamless, trustworthy, and user-friendly.

Founded at Station F by Sara, a financial engineer with 9+ years in regulatory risk, and Sawsen, a PhD in computer vision with experience at Cisco’s Innovation Lab, ShareID combines deep expertise in security, AI, and digital identity.

Job Description

As a senior member of the R&D team, you will design, train, optimize, and deploy deep learning models for ShareID’s core products:

Document Verification, Face Authentication, Liveness, and Fraud Detection.

You will work on computer vision problems involving images, videos, and temporal sequences in highly adversarial (fraud-prone) environments.

You will:

  • Design and implement advanced computer vision models, with a focus on:

    • identity document analysis,
    • forgery / tampering detection,
    • face authentication and liveness,
    • deepfake / spoofing attack detection,
    • video-based temporal modeling and tracking.

  • Experiment with state-of-the-art architectures:

    • transformer-based models (ViT, DETR-like, SAM, etc.)
    • diffusion / generative models for augmentation or anomaly detection,
    • latency-optimized networks (quantization, pruning, distillation).

  • Own end-to-end research cycles:

    • literature review,
    • prototyping and experimentation,
    • evaluation on large-scale datasets,
    • productization with engineering teams.

  • Collaborate cross-functionally with Product, Risk, Fraud, and Engineering to bring research ideas into production.

  • Contribute to ShareID’s scientific culture:

    • present papers, lead knowledge-sharing sessions,
    • guide junior ML engineers and interns,
    • optionally participate in benchmarks or publications.

Preferred Experience

Job Requirements Translation

  • Minimum 4 years of experience in deep learning applied to computer vision, with a portion of that experience in a production environment (startup, scale-up, industrial lab, etc.).

  • Excellent command of:

    • Python;
    • PyTorch (or equivalent);
    • Large-scale model training (voluminous datasets, data augmentation, rigorous validation).

  • Concrete experience in at least one of these areas:

    • Real-time vision (tracking, video detection, high-performance pipeline);
    • Biometrics / face recognition / liveness;
    • Document understanding (document scanning, OCR, document augmentation, QA).

  • Solid foundation in:

    • Statistics, optimization, supervised / self-supervised learning;
    • Good reading comprehension of literature (ICCV, CVPR, NeurIPS, etc.).

  • Experience working in a product environment:

    • Latency, robustness, hardware resource, security, and privacy constraints.

Recruitment Process

Nice-to-Have

  • Experience in documentary fraud, KYC (Know Your Customer), cybersecurity, or digital identity.

  • Knowledge of MLOps: model deployment, monitoring, CI/CD, GPU/CPU serving.

  • Participation in public benchmarks or publications (arXiv, workshops, conferences).

  • French: professional proficiency (a plus); English: fluent (essential).

Additional Information

  • Contract Type: Full-Time
  • Start Date: 05 January 2026
  • Location: Paris
  • Education Level: Master's Degree
  • Experience: > 4 years
  • Occasional remote authorized
Apply Now