Principal Machine Learning Engineer

Our team in CoreAI - PostTraining 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 individual contributor with a background in large language modeling. You will work 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).

As a Principal Machine Learning Engineer, you will be responsible for developing and scaling AI models, particularly focusing on large language models and their customization. You'll work at the intersection of cutting-edge AI research and practical application, collaborating with teams across Microsoft including OpenAI integration.

The role offers an opportunity to shape the future of AI technology at Microsoft, working with state-of-the-art language models and contributing to products that impact millions of users. You'll be part of a team that values innovation, technical excellence, and collaborative problem-solving.

The position includes competitive compensation with a base pay range of $139,900 - $274,800 per year (higher in SF Bay Area and NYC), along with comprehensive benefits including healthcare, educational resources, and investment options. Microsoft's inclusive culture and commitment to work-life balance make this an ideal opportunity for talented ML engineers looking to make a significant impact in the field of AI.

This role requires a blend of technical expertise in machine learning, practical experience with large-scale systems, and the ability to collaborate effectively across teams. You'll be working in an environment that encourages innovation while maintaining a strong focus on practical applications and business impact.