Research Engineer - Generative AI - AI Frontiers

11/26/2025

As a Research Engineer, you will design, develop, execute, and implement technology research projects in collaboration with other researchers and engineers. You will play a crucial role in developing and exploring the capabilities of Large Language Models and agentic AI.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

About The Company

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

About the Role

As a Research Engineer in AI Frontiers, you will design, develop, execute, and implement technology research projects in collaboration with other researchers, engineers, and product groups. As a member of a word-class research organization, you will be a part of research breakthroughs in the field and play a crucial role in developing, improving, and exploring the capabilities of Large Language Models (LLMs), reasoning and agentic AI. Embody our culture and values. Bachelors in Computer Science or relevant field AND 2+ years related experience OR Master's Degree in Computer Science or related field AND 1+ year(s) related experience OR Doctorate in Computer Science or related field OR equivalent experience 1+ year(s) experience developing with Python and Pytorch/JAX. Familiarity with architecture and optimizations for large language models. Hands-on work in debugging and profiling Pytorch distributed code. Basic understanding of working of CUDA kernels. Familiarity with pre-training, mid-training and/or post-training pipelines for language and/or multimodal models. Foundational understanding of reinforcement learning and key challenges in the field. Experience with verl, Ray, Megatron and/or vLLM is a significant plus. Any experience in building scalable services can be highly complementary.

Key Skills

PythonPytorchJAXLarge Language ModelsCUDAReinforcement LearningDebuggingProfilingPre-trainingMid-trainingPost-trainingMultimodal ModelsRayMegatronvLLMScalable Services