3 месяца назад
Machine Learning Engineer (Computer Vision)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (Computer Vision): Developing and optimizing biometric identification and anti-spoofing systems for the World Network with an accent on face verification, uniqueness detection, and on-device performance. Focus on building evaluation pipelines, iterating on deep learning architectures, and implementing pragmatic CV solutions for real-world conditions.
Location: On-site in Munich
Company
designs and builds the technology behind World, a global human network utilizing iris and face recognition for privacy-preserving identity verification.
What you will do
- Own face ML projects end-to-end, from initial problem definition to production validation and monitoring.
- Iterate on deep learning architectures, losses, and data pipelines for biometric identification and anti-spoofing.
- Implement classical CV and image processing solutions to ensure efficiency and reliability.
- Design robust evaluation pipelines to catch model regressions before they reach production.
- Analyze face datasets to identify failure modes and drive model and evaluation changes.
- Collaborate with MLOps and Mobile teams to meet strict latency and memory budgets for on-device deployment.
Requirements
- Significant experience training and shipping deep learning systems for computer vision.
- Strong proficiency in Python and a modern framework such as PyTorch.
- Solid foundations in classical CV with experience using OpenCV and NumPy.
- Expertise in designing production-grade evaluations, including metric selection and regression analysis.
- Ability to write maintainable research and production-quality code.
- Location: Must be based in or be able to work on-site in Munich
Nice to have
- Direct experience with biometric verification, liveness detection, or adversarial ML systems.
- Knowledge of edge optimization, quantization, pruning, and distillation for on-device deployment.
- Proficiency in Rust for high-performance code paths.
- Background in sensors, imaging, or camera ISPs.
Culture & Benefits
- Opportunity to work with an elite team from OpenAI, Tesla, SpaceX, and Google.
- Contribution to a product operating at a global scale with over 17 million verified users.
- Pragmatic engineering culture that balances deep learning with efficient classical methods.
- Ownership-driven environment focusing on end-to-end delivery and scientific rigor.
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