At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.
Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.
In this role, you will:- Design and prototype machine learning solutions to improve the software development workflow.
- Apply existing open-source models or train custom ones as needed.
- Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
- Stay up to date with the latest advancements in applying machine learning to source code.
- Collaborate with colleagues and provide mentorship when appropriate.
- Have experience designing machine learning systems from scratch.
- Have a background in natural language processing or code modeling.
- Have a proven track record of delivering machine learning projects.
- Know how to design reproducible ML experiments.
- Enjoy working on projects with high uncertainty.
- Are proficient in Python, Java, or Kotlin.
- Have hands-on experience with modern ML frameworks.
- Have experience applying machine learning to programming languages.
- Have hands-on experience building and improving AI agents.
- Have experience in A/B testing and general knowledge of statistics
- Have worked with large-scale data processing pipelines
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We are an equal opportunity employer
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Skills Required
- Experience designing machine learning systems from scratch
- Background in natural language processing or code modeling
- Proven track record of delivering machine learning projects
- Ability to design reproducible ML experiments
- Comfort working on projects with high uncertainty
- Proficiency in Python, Java, or Kotlin
- Hands-on experience with modern ML frameworks
- Experience applying machine learning to programming languages
- Hands-on experience building and improving AI agents
- Experience in A/B testing and general knowledge of statistics
- Experience with large-scale data processing pipelines
JetBrains Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JetBrains and has not been reviewed or approved by JetBrains.
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Fair & Transparent Compensation — Fair & Transparent Compensation: Pay is considered market-competitive for many product and engineering roles in key locations, with published salary ranges on some postings aiding expectation-setting. Feedback suggests total compensation feels fair relative to local markets even if packages are positioned as “competitive but not top‑of‑big‑tech”.
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Flexible Benefits — Flexible Benefits: Work setup includes hybrid/remote options and flexible hours across many locations. The ability to work abroad for part of the year adds practical flexibility to where work gets done.
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Leave & Time Off Breadth — Leave & Time Off Breadth: Time off includes additional vacation days beyond local minimums in many countries. U.S. materials also highlight PTO, sick leave, and holidays, underscoring breadth beyond statutory baselines.
JetBrains Insights
What We Do
JetBrains creates intelligent software development tools consistently used and trusted by 11.4 million professionals and 88 Fortune Global Top 100 companies. Our lineup of more than 30 products includes IDEs for most programming languages and technologies, such as IntelliJ IDEA, PyCharm, and others, as well as products for team collaboration, like YouTrack and TeamCity. JetBrains is also known for creating the Kotlin programming language, a cross-platform language used by more than 5 million developers worldwide yearly and recommended by Google as the preferred language for Android development. The company is headquartered in Prague, Czech Republic, and has offices around the world. JetBrains IDEs * IntelliJ IDEA (Java and Kotlin Developers) * PyCharm (Python developers) * PhpStorm (PHP developers) * GoLand (Go developers) * Rider (.NET developers) * CLion (C and C++ developers) * Rust Rover (Rust developers) * WebStorm (JavaScript & TypesScript developers) * RubyMine (Ruby and Rails developers) * DataGrip (Tool for multiple databases) * ReSharper (Extension for Visual Studio) * Fleet (Multilingual IDE and code editor) * Aqua (IDE for test automation engineers) .NET & Visual Studio: * Rider (IDE for .NET developers) * ReSharper (Extension for Visual Studio) * ReSharper C++ (Visual Studio Extension for C++ developers) * dotCover (.NET Unit Test Runner and Code Coverage Tool) * dotMemory (.NET Memory Profiler) * dotTrace (.NET Performance Profiler) * dotPeek (.NET decompiler and assembly browser) Team Tools: * TeamCity (Powerful CI out of the box) * YouTrack (Project management for all your teams) * Space (Intelligent code collaboration platform) * Datalore (Collaborative data science platform) * Qodana (Code quality platform for teams) Programming Languages: * Kotlin (Programming Language for the JVM and Android) * MPS (Create Your Own Domain-Specific Language) Education: * JetBrains Academy (Learn and Teach Computer Science) Profile by JetBrains s.r.o.
