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POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security.
Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we’re looking for world-class Machine Learning Engineers to help us keep pushing the boundaries of biometric technology.
As a Machine Learning Engineer at Incode, you’ll design, build, and deploy the deep learning models that power our most advanced technologies — from facial recognition and liveness detection to document processing and ID validation.
You’ll join a highly specialized engineering team working on solving complex, real-world challenges with cutting-edge ML architectures. Your work will directly influence how people verify their identity safely, seamlessly, and securely around the world.
5+ years of industrial experience in Machine Learning, Deep Learning, or Computer Vision.
Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.
Demonstrated experience developing, deploying, and optimizing models for both performance and cost efficiency in production environments (including edge AI).
Specialized expertise in at least one of the following areas:
Proven ability to design and maintain end-to-end ML pipelines.
Track record of research contributions or publications in deep learning and computer vision.
Excellent communication and collaboration skills across cross-functional teams.
Passion for mentoring talent and thriving in both long-term research and rapid iteration cycles.
Aspects of our Culture:
High performance / Freedom & responsibility / Context, not control / Highly aligned, loosely coupled / Continuous Feedback / Promotions & Development / Learn more about Life at Incode !
Benefits & Perks:
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process.
32,000 – 57,463 EUR
from 5 years
Experience
Full-time
Employment
Remote
Work Format
Senior
Grade
Data Science & ML
Specialization
Cybersecurity
Industry
Product company
Company Type
Data Science & ML
Specialization
Cybersecurity
Industry
Product company
Company Type