Software Dev Engineer Machine Learning (AI)

TL;DR

Software Dev Engineer Machine Learning (AI): Developing and optimizing video and audio streaming quality for smart home devices with an accent on real-time inference, encoding optimization, and cloud-native architectures. Focus on implementing new model architectures, optimizing training pipelines, and building resilient distributed systems.

Location: Onsite in Madrid, Spain

Company

A global technology leader, with this role based in the Video Streaming Quality team at Ring, focusing on enhancing smart home device experiences.

What you will do

• Design and develop scalable, cloud-native microservices and distributed systems.
• Collaborate with ML scientists to implement model architectures and optimize training pipelines.
• Build resilient, fault-tolerant systems for high-quality video and audio streaming.
• Integrate GenAI and AI-powered tools to increase development productivity.
• Ensure operational excellence through monitoring, troubleshooting, and resolving production issues.

Requirements

• Experience with video/image processing, compression algorithms, computer vision, or machine learning.
• Proficiency in programming languages such as Python, Java, or C++.
• Knowledge of cloud computing and cloud-native technologies.
• Bachelor's or Graduate degree in Computer Science, Computer Engineering, Data Science, or related STEM fields.
• Expected graduation between October 2025 - September 2026, or graduated within the last 24 months.
• Strong understanding of data structures, algorithms, and object-oriented design principles.

Nice to have

• Previous technical internships or demonstrated project experience.
• Experience with embedded video or on-device ML model optimization.
• Knowledge of AWS, SQL/NoSQL databases, or contributions to open-source projects.

Culture & Benefits

• High-impact role affecting millions of customers worldwide.
• Supportive culture of learning and mentorship.
• Opportunity to work in the expanding Madrid Tech Hub.
• Emphasis on ownership and operational excellence.