Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Senior Machine Learning Engineer (d/f/m)
Design, develop, and deploy robust machine learning and AI systems for a range of products and use cases, including generative AI.
Deploy and monitor machine learning models and systems, including CI/CD pipelines, automated testing, monitoring, and model versioning.
Ensure all ML/AI solutions adhere to best practices in data privacy, security, and ethical standards.
University degree in Computer Science, Machine Learning, Data Science, or a related field.
5+ years' experience building and deploying production-grade machine learning models.
Strong software engineering mindset — ability to write clean, reusable, and scalable code in Python.
Experience integrating ML/AI models into production software systems.
Hands-on experience with ML frameworks (eg, TensorFlow, PyTorch, Hugging Face).
Background in data science: comfort with experimentation, A/B testing, and measuring ROI/impact of ML projects (not just accuracy).
Familiarity with cloud-based ML infrastructure (AWS, Snowflake, SageMaker, etc.).
Join a recently created AI team focused exclusively on delivering LLM and ML-powered projects with real business impact.
Work in a lean, well-supported environment focusing on real use cases and improving our users experience.
With over 15,000 customers, offices across Europe, and strong backing from top-tier investors, Personio is scaling fast — and AI is a critical enabler of that growth.
Competitive compensation, equity, and benefits.
Flexible, office-led but remote-friendly working with the option for international work weeks.
Mental health support, family leave, impact days, sabbaticals, and regular team events.