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Senior Deep Learning Engineer
Sin especificarTiempo completoAI & Machine LearningAutomotive Technology
Join an R&D team developing computer vision products for automated vehicle inspection. The role covers machine and deep learning research, algorithm development, evaluation, optimization, and deployment for real-time edge and cloud systems.
Responsabilidades
- Design and develop robust, efficient machine learning and deep learning algorithms for computer vision challenges.
- Create proofs of concept and transition research ideas into scalable, production-ready systems.
- Evaluate, benchmark, and profile algorithms on large proprietary datasets.
- Apply data-centric AI methods, including active learning and data curation.
- Collaborate with infrastructure, MLOps, and hardware teams on product capabilities and model optimization.
- Optimize models for real-time inference on edge and cloud devices.
Requisitos
- At least 4 years of industry experience developing, optimizing, and deploying deep learning algorithms in production.
- Hands-on experience with computer vision problems such as detection, classification, and segmentation.
- Strong theoretical understanding of neural network architectures, including CNNs, Vision Transformers, diffusion models, or generative AI for vision.
- Professional Python experience.
- Experience with major deep learning frameworks such as PyTorch or TensorFlow.
- Ability to work independently and approach unfamiliar technical problems with initiative.
Se valora
- C/C++ experience.
- Experience with 3D perception, anomaly detection, or multi-view geometry.
- Experience with tracking, identification, image retrieval, pose estimation, OCR, or image registration.
- M.Sc. or Ph.D. in computer science, electrical engineering, data science, or a related field.
Beneficios
- Work on AI, machine learning, and computer vision solutions for vehicle safety.
- Contribute to products with international automotive and mobility impact.
- Career growth in a rapidly developing R&D environment.