Research Engineer
il y a 1 semaine
IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention. Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability.
The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries.
This position is based in Rennes, France.
Are you passionate about science, innovation, and their real-world applications? Join a dynamic, multidisciplinary team specializing in document analysis, image processing, artificial intelligence, and systems engineering. Our team covers the full cycle — from applied research to the production of innovative solutions.
Key Responsibilities- Design and develop advanced features leveraging the latest scientific and technological advances (deep learning, computer vision, generative AI, etc.)
- Evaluate the performance and robustness of deployed algorithms using modern validation and benchmarking methodologies
- Conduct active technological and scientific monitoring, write and publish articles in specialized journals, and represent the team at international conferences
- Participate in defining functional specifications for the evolution of our solutions, integrating market needs and technological opportunities
- Contribute to effort estimation, planning, and building the product roadmap
Technical environment: Python / C++ / OpenCV / TensorFlow / PyTorch. A solid understanding of web development basics (APIs, microservices, cloud) is a plus.
Perks: Autonomy, team spirit, stimulating environment, strong growth, and career development opportunities.
Preferred Experience
- You hold a PhD in image or video processing, machine learning, or document analysis and pattern recognition, and you are passionate about turning innovative ideas into concrete, high-value industrial products.
- You have a strong interest in new use cases enabled by recent advances in artificial intelligence, computer vision, and data technologies.
- Your expertise includes digital document processing, biometrics, intelligent identification, and facial recognition, and you are highly motivated by developing innovative applications and solving advanced technological challenges.
Perks & Benefits
- Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions.
- We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification.
- We make your remote work comfy: we provide support on equipment and offer flexible working hours.
- We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work.
- May your family require your attention or other reasons apply: use the benefit of our paid special leave days.
- Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities.
- In addition to the perks & benefits above, we offer specific benefits that differ between our locations.
IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.
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