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.
Why Incode?
* Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically.
* Rocket-Ship Growth - Join at a defining moment where your work compounds in global impact.
* Elite Team & Technology - Collaborate with top-tier engineers, researchers, and scientists at the forefront of AI.
* Ownership & Autonomy - Operate with the freedom to innovate, test, and deploy your ideas end-to-end.
* Global Impact - Your models will power secure, frictionless identity verification experiences across continents.
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