JetBrains
B2B • SaaS • Artificial Intelligence
JetBrains is a software company that builds professional developer tools and integrated development environments (IDEs) — including IntelliJ IDEA, PyCharm, WebStorm, Rider, and others — plus team and CI/CD tools like TeamCity, YouTrack, Datalore, and code-quality services. The company also offers AI-powered developer features (Junie, AI Assistant, AI Enterprise), a marketplace for plugins, educational offerings (JetBrains Academy, courses, free licenses for students/teachers), and enterprise services for managing developer tooling at scale. JetBrains focuses on improving developer productivity, collaboration, and code quality for individual developers and organizations worldwide.
Research Engineer – JetBrains AI
Job not on LinkedIn
November 25
JetBrains
B2B • SaaS • Artificial Intelligence
JetBrains is a software company that builds professional developer tools and integrated development environments (IDEs) — including IntelliJ IDEA, PyCharm, WebStorm, Rider, and others — plus team and CI/CD tools like TeamCity, YouTrack, Datalore, and code-quality services. The company also offers AI-powered developer features (Junie, AI Assistant, AI Enterprise), a marketplace for plugins, educational offerings (JetBrains Academy, courses, free licenses for students/teachers), and enterprise services for managing developer tooling at scale. JetBrains focuses on improving developer productivity, collaboration, and code quality for individual developers and organizations worldwide.
📋 Description
• Work with stakeholders to convert business requirements into technical specifications. • Train LLMs from scratch on a large GPU cluster. • Collect and process pre-training and fine-tuning datasets. • Support and improve existing subsystems.
🎯 Requirements
• Experience in design, deployment, and support of production ML systems. • A strong theoretical background in NLP and transformer-based approaches. • Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP. • Experience in distributed training of multi-billion parameter models. • Attention to detail in everything you do and great communication skills. • Can plan projects and make decisions independently, consulting with others if needed. • Identify customer needs and prioritize their tasks accordingly. • Start with the simplest solutions and gradually add complexity as needed. • Take sole responsibility for an entire subsystem. • Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.
🏖️ Benefits
• A cluster of hundreds of NVIDIA GPUs as training infrastructure. • Git for source control management. • Python, PyTorch, and HuggingFace as an ML stack. • Kubeflow and Weights & Biases for experiment tracking. • TeamCity as a CI Automation system.
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