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🚀 We're Hiring: Senior AI/ML Reliability Engineer

📍 Amsterdam / Hybrid | 🌐 www.m-labs.ai

At MLABS, we build intelligent systems that power the next generation of media analytics. As our solutions scale globally, we’re looking for a Senior AI/ML Reliability Engineer to ensure our machine learning infrastructure is not just performant—but bulletproof.

🧠 What You’ll Do

As part of our engineering team, you’ll work at the intersection of AI and systems reliability. You’ll play a critical role in making sure our ML pipelines are stable, scalable, and optimized for production—every day, all the time.

• Design, implement, and monitor reliable AI/ML infrastructure
• Identify bottlenecks in model deployment and inference
• Build robust observability and alerting tools for ML systems
• Work with data scientists and MLOps engineers to improve feedback loops
• Champion automation, CI/CD, and best practices in ML systems design

✅ What You Bring

• 5+ years of experience in software engineering or SRE, with a focus on ML systems
• Deep understanding of ML lifecycle, model serving, and data dependencies
• Proven experience with Python, Docker, Kubernetes, and CI/CD tools
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, or Hugging Face)
• A mindset for proactive monitoring, performance tuning, and elegant failover

🎁 What You’ll Get (Benefits)

• 💼 Competitive salary with performance-based bonuses
• 🌍 Hybrid flexibility – work remotely or join us in our Amsterdam hub
• 🚀 High-impact role with ownership and visibility from day one
• 🧘‍♂️ Flexible working hours & wellness-first culture
• 📚 Learning & development stipend for courses, books, or conferences
• 🛠️ Cutting-edge tech stack and autonomy to shape the tools you use
• 🌱 A mission-driven team working at the intersection of AI, media, and truth

💡 Why MLABS

We’re not a typical tech company. We operate at the edge of media, machine learning, and insight. Here, engineers help shape product, strategy, and the future of how organizations engage with the world.

You’ll work in a fast-moving, collaborative environment with space to innovate—and the support to make ideas real.

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