About Incode
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.
The Impact You’ll Make
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.
What You’ll Own & Drive
* Innovate & Optimize - Develop and refine state-of-the-art deep learning models for computer vision applications such as facial recognition, liveness detection, and document processing and validation.
* Production-Ready Solutions - Architect and maintain scalable, efficient ML pipelines and ensure production-readiness and cost efficiency of deployed models.
* Research & Discovery - Stay at the forefront of academic and industry breakthroughs, experiment with emerging architectures and algorithms, and translate research into production-grade solutions.
* Data Mastery - Drive improvements in model performance through robust data preprocessing, cleaning, and analysis workflows.
* Collaborate & Communicate - Partner closely with research, product, and engineering teams to integrate ML solutions seamlessly into Incode’s production environment.
* Mentorship & Leadership - Provide technical guidance, share best practices, and contribute to building a culture of innovation and continuous learning.
Your Background
* 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:
o Facial Recognition – face recognition, age estimation, facial attributes analysis.
o Liveness Detection – facial authentication, anti-spoofing, and anti-deepfake defense.
o Document Processing – OCR-based extraction, document analysis, and quality assurance.
o ID Verification – biometric data authentication and document integrity validation.
* 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.
The Qualities That Set You Apart
* Deep curiosity and technical excellence in AI and computer vision.
* Builder mindset with a drive to deliver real-world impact through applied research.
* Strong analytical thinking balanced by practical execution.
* Collaborative spirit and ability to simplify complex ideas for diverse audiences.
* Commitment to innovation, scalability, and continuous improvement.
#J-18808-Ljbffr