Our team in Azure GenAI is at the cutting edge of developing large language model technologies to power Azure AI Platform products and offering them as a service for both internal and external applications. We collaborate deeply with OpenAI and numerous Microsoft product teams, including GitHub and Office.
The team is looking for a passionate, creative, and analytical Senior Machine Learning Engineer to join our team working on adapting and grounding large language models for product-driven scenarios. The focus will be on developing deep learning techniques to enhance the custom copilot experience through efficient adaptation of large-scale language models. The work will span multiple stages of adaptation, including supervised fine-tuning and post-training with Reinforcement Learning from Human Feedback (RLHF).
You will be working at the forefront of AI technology, collaborating with world-class researchers and engineers to build the next generation of language models. This role offers an opportunity to make significant impact on Microsoft's AI products while working with cutting-edge technology.
The ideal candidate will have strong expertise in machine learning, particularly in large language models, with demonstrated experience in distributed training and model deployment. You should be comfortable working with large datasets, have excellent programming skills particularly in Python, and be familiar with ML frameworks like PyTorch.
Microsoft's culture embraces a growth mindset and encourages teams to bring their best each day. We are committed to cultivating an inclusive work environment where diverse perspectives are valued and everyone can contribute to shaping the future of AI technology.
This is a hybrid role with up to 50% work from home flexibility, offering an excellent balance between collaborative office time and remote work. The position includes comprehensive benefits including industry-leading healthcare, educational resources, and generous time off policies.