ppAt JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. /p pWe are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners. /p pWe are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe. /p h3We Value Engineers Who /h3 ul liPlan projects and make decisions independently, consulting with others if needed. /li liIdentify customer needs and prioritize their tasks accordingly. /li liStart with the simplest solutions and gradually add complexity as needed. /li liTake sole responsibility for an entire subsystem. /li liHave a passion for learning and a desire to stay up to date with the latest developments in the LLM field. /li /ul h3In This Role, You Will /h3 ul liWork with stakeholders to convert business requirements into technical specifications. /li liTrain LLMs from scratch on a large GPU cluster. /li liCollect and process pre‑training and fine‑tuning datasets.



/li liSupport and improve existing subsystems. /li /ul h3We’ll be happy to have you on our team if you have: /h3 ul liExperience in design, deployment, and support of production ML systems. /li liA strong theoretical background in NLP and transformer‑based approaches. /li liProficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP. /li liExperience in distributed training of multi‑billion parameter models. /li liAttention to detail in everything you do and great communication skills. /li /ul h3We’d be especially thrilled if you have experience with: /h3 ul liLLM inference frameworks such as vLLM, DeepSpeed, TensorRT. /li liLLM alignment techniques such as RLHF/RLAIF. /li liMLOps tools and practices, including CI/CD for ML. /li liK8s and Kubeflow. /li liScientific publications in the NLP field. /li /ul h3How We Develop JetBrains AI /h3 ul liA cluster of hundreds of NVIDIA GPUs as training infrastructure. /li liGit for source control management. /li liPython, PyTorch, and HuggingFace as an ML stack. /li liKubeflow and Weights Biases for experiment tracking. /li liTeamCity as a CI Automation system. /li /ul h3We are an equal opportunity employer /h3 pWe know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. /p /p #J-18808-Ljbffr

📌 Staff Research Engineer (LLM Pre-Training) (Madrid)
🏢 JetBrains
📍 Madrid