Senior Machine Learning Engineer (IntelliJ AI)
JetBrains · Amsterdam, Netherlands | Belgrade, Serbia | Berlin, Germany | Limassol | London, United Kingdom | Madrid, Spain | Munich, Germany | Paphos | Prague, Czech Republic · AI DevTools Ecosystem
About this role
JetBrains is hiring a senior-level Machine Learning Engineer based in Amsterdam, Netherlands | Belgrade, Serbia | Berlin, Germany | Limassol | London, United Kingdom | Madrid, Spain | Munich, Germany | Paphos | Prague, Czech Republic. The posting calls out experience with Python, Kotlin, LLMs, Machine Learning.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Amsterdam, Netherlands | Belgrade, Serbia | Berlin, Germany | Limassol | London, United Kingdom | Madrid, Spain | Munich, Germany | Paphos | Prague, Czech Republic
- Department
- AI DevTools Ecosystem
More roles at JetBrains
Job description
from JetBrains careersAt JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
AI features in JetBrains IDEs, developed by the IntelliJ AI team, have quickly become a core part of how developers work inside our IDEs. The IntelliJ AI team partners with product groups across JetBrains to embed advanced AI features that accelerate developer workflows and deliver real value to software engineers.
We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs. If selected, you will join the ML subteam within IntelliJ AI, driving the development of our ML system from end to end by defining evaluation and metrics, shaping context orchestration, and helping product teams tailor AI capabilities to their needs.
In this role, you will:
- Design and drive evaluation frameworks for AI features, including metrics, experiments, and agent trace analysis.
- Diagnose model performance issues (e.g. prompt drift, context mismatches, and latency/quality trade-offs) and translate findings into actionable improvements.