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. Our growing team of 1,800+ Personios across Europe and the US are building user-friendly products that delight our 14,000+ customers and their 1.5 million employees. Ready to make an impact from day one?

Role Responsibilities: What you’ll do

• Design, develop, and deploy robust machine learning and AI systems for a range of products and use cases, including generative AI.
• Integrate ML and AI models into production systems, ensuring scalability, reliability, and maintainability.
• Deploy and monitor machine learning models and systems, including CI/CD pipelines, automated testing, monitoring, and model versioning.
• Leverage cloud platforms (AWS + Snowflake) and ML infrastructure (e.g., SageMaker, feature stores) for scalable deployment.
• Collaborate with cross-functional teams (Product, Customer Experience, and other engineering teams) to deliver AI-driven features and insights.
• Ensure all ML/AI solutions adhere to best practices in data privacy, security, and ethical standards.
• Contribute to a culture of technical excellence, knowledge sharing, and continuous learning.

What you need to succeed

• 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.
• Solid understanding of MLOps practices, CI/CD pipelines, and automated testing frameworks.
• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Experience working with backend teams and deploying end-to-end products.

What’s a plus?

• Background in data science: comfort with experimentation, A/B testing, and measuring ROI/impact of ML projects (not just accuracy).
• Experience with NLP or generative AI techniques.
• Familiarity with cloud-based ML infrastructure (AWS, Snowflake, SageMaker, etc.).

Why this role?

• 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.
• Full ownership of end-to-end ML delivery: from prototype to production.
• Exposure to high-impact use cases backed by executive sponsorship - high visibility within the organization to build impactful products.

Why Personio?

We’re one of Europe’s fastest-growing tech companies, building the leading HR platform for SMEs. 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.

We’re also proud of our culture:

• A diverse, inclusive workplace where your voice matters.
• Competitive compensation, equity, and benefits.
• 28 days’ vacation, plus an additional day after two and four years.
• 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.