Incode
Engineering Manager
New
Serbia$142,000 – $238,0001h ago
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! 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.
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.
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.
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).
Facial Recognition – face recognition, age estimation, facial attributes analysis.
Liveness Detection – facial authentication, anti-spoofing, and anti-deepfake defense.
Document Processing – OCR-based extraction, document analysis, and quality assurance.
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.
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.
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.
High performance
Freedom & responsibility
Context, not control
Highly aligned, loosely coupled
Learn more about Life at Incode !
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. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
Qualifications: 5+ years industrial ML/DL/CV experience, Deep learning model design, Deep learning model build, Deep learning model deployment, Facial recognition, Liveness detection, Document processing, ID validation, ML architectures, Complex problem solving, State-of-the-art deep learning, Computer vision, Scalable ML pipelines, Efficient ML pipelines, Production-ready models, Cost efficiency, Research, Emerging architectures, Algorithms, Production-grade solutions, Data preprocessing, Data cleaning, Data analysis, Model performance improvement, Collaboration, Communication, Cross-functional teamwork, Technical guidance, Mentorship, Best practices, Innovation, Continuous learning, Python, PyTorch, TensorFlow, Model optimization (performance/cost efficiency), Production environments, Edge AI, Age estimation, Facial attributes analysis, Facial authentication, Anti-spoofing, Anti-deepfake defense, OCR-based extraction, Document analysis, Quality assurance, Biometric data authentication, Document integrity validation, End-to-end ML pipelines, Research contributions, Publications, Analytical thinking, Practical execution, Builder mindset, Flexible working hours, Flexible workplace
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