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Software Dev Engineer Machine Learning (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Dev Engineer Machine Learning (AI): Building scalable machine learning and video streaming quality solutions for Ring smart home devices with an accent on real-time inference, video processing, cloud-native architectures, and distributed systems. Focus on implementing model architectures, optimizing training pipelines and on-device models, analyzing model performance, and developing reliable streaming and transcoding systems.
Location: Onsite in Madrid, Spain; this is not a remote position.
Company
's Ring Video Streaming Quality team improves the end-to-end video and audio streaming experience across millions of smart home devices.
What you will do
- Design, build, and operate scalable products and services using cloud-native architectures and microservices.
- Build resilient, fault-tolerant, and cost-effective distributed systems.
- Implement new machine learning model architectures and optimize training pipelines and on-device models.
- Analyze model performance metrics and contribute to real-time AI/ML inference on devices and in the cloud.
- Work with product managers, ML scientists, and senior engineers through design reviews and technical discussions.
- Participate in code reviews, CI/CD, monitoring, troubleshooting, production support, and on-call operations.
Requirements
- Experience with video and image processing, compression algorithms and standards, computer vision, and/or machine learning.
- Knowledge of cloud computing and cloud technologies.
- Programming experience with Python, Java, or C++.
- Currently enrolled in or graduated from a Bachelor's or graduate degree in Computer Science, Computer Engineering, Data Science, Information Systems, or a related STEM field.
- Expected graduation between October 2025 and September 2026, or graduation within the last 24 months.
- Experience with data structures, basic algorithm development, or object-oriented design principles.
Nice to have
- Technical internships or demonstrated project experience.
- Video embedding and on-device ML optimization for embedded or resource-constrained hardware.
- AI development tools, AWS, SQL or NoSQL databases, open-source contributions, version control, debugging, and troubleshooting complex systems.
- Strong problem-solving, analytical, communication, learning, and adaptation skills.
Culture & Benefits
- Collaborative environment with cross-disciplinary technical work.
- Learning and mentorship opportunities within 's Madrid Tech Hub.
- Agile development practices and operational ownership across the full software lifecycle.
- Inclusive workplace with support for workplace accommodations during hiring and onboarding.
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