C++ Engineer, Machine Learning
AI Summary
A C++ Engineer in the Machine Learning team develops high-performance C++ systems to bring computer vision and machine learning capabilities into production for Scanbot’s document processing SDK.
About this role
The Role:
As a C++ Engineer in our Machine Learning team, you will work at the forefront of innovation, helping bring cutting-edge machine learning and computer vision technology into production.
You will work on the core technology that powers Scanbot's document processing SDK, used by global Fortune 500 companies and millions of users worldwide. In this role, you will build high-performance C++ systems that transform machine learning prototypes into efficient, cross-platform implementations used across mobile, web, and backend environments.
Working closely with machine learning engineers and researchers, you will help deliver advanced capabilities such as document detection, barcode recognition, image processing, OCR, and real-time data extraction.
If solving novel, performance-critical problems motivates you, and you enjoy working at the intersection of C++, computer vision, and machine learning, you’ll feel right at home here. Candidates must already be based in Germany, Belgium, or United Kingdom.
Responsibilities:
C++ Development & ML Integration
- Develop computer vision and machine learning-based features with real-time performance requirements.
- Integrate machine learning models created by ML engineers into Scanbot SDK products.
- Work with research teams to convert Python-based prototypes into production-ready and cross-platform C++ implementations.
- Develop and improve the core of our SDKs with features such as:
- Barcode and document detection
- Image processing
- Text recognition
- Data intelligence
- Real-time data extraction
- Augmented reality overlays
- Design, implement, and maintain production-grade C++ code within Scanbot SDK products.
- Collaborate closely with Android, iOS, Web, and server teams to deliver cross-platform solutions.
- Design and implement automated tests to ensure reliability and performance.
- Investigate and resolve bugs reported by QA teams and customers.
- Continuously improve system performance, architecture, and scalability.
- Partner with product management and engineering teams to continuously improve product capabilities.
- Collaborate with ML researchers to bring new machine learning innovations into production.
- Share technical knowledge and best practices across engineering teams.
- Contribute to improving development workflows, tooling, and engineering processes.
Software Engineering & Implementation
Cross-Functional Collaboration
Qualifications:
- Bachelor’s orMaster’s degree in Computer Science, Engineering, or a related technical field or comparable practical experience.
- 3+ years of professional experience developing software using C++, or demonstrated exceptional performance in computer science competitions such as informatics olympiads or competitive programming.
- Strong problem-solving skills and the ability to learn quickly in a fast-moving technical environment.
- Experience working with Python and NumPy.
- Solid understanding of linear algebra and computer vision concepts.
- Experience using common software development tools such as Git (GitHub), JIRA, or similar issue tracking systems.
- Strong written and verbal communication skills in English.
Nice to Have:
- Experience working with OpenCV.
- Familiarity with modern C++ standards (C++17 or newer).
- Experience with high-performance computing techniques (vectorized computing, multithreaded computing)
- Experience with libraries and technologies such asCMake, Jenkins, docker, Blender, web development, serverless orWebAssembly.
- Experience working with cloud platforms such as AWS or GCP.
- Knowledge of systems-level concepts such as CPU architecture, OS design, or low-level optimization.
- Participated in competitive programming, algorithm competitions, or informatics olympiads.
- Android/iOS development experience.
Skills
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