Member of Technical Staff - Post Training - MAI Superintelligence Team · Microsoft AI

Fri, 06 Mar 2026 07:31:20 GMT
Engineering

Microsoft AI · Redmond · $119,800 - $234,700 per year · onsite

Summary

Microsoft AI are looking for a talented Member of Technical Staff - Post Training - MAI Superintelligence Team at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

This role involves contributions to all stages of the post-training process: driving data collection and acquisition, building evaluations of model capabilities, and applying advanced reward modeling and RL techniques to develop and improve the post-training recipe. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models.

Accountabilities

Develop data collection, evaluation, and post-training methods for models.

Design hypotheses and experiment plans for rapidly iterating on model performance.

The Candidate we're looking for

Experience:

Bachelor’s Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

Experience with reward modeling, RL, or other post-training techniques.

Personal attributes:

Passionate about advancing the state of post-training research.

Willing to contribute meaningfully as individuals and take end-to-end ownership of projects.

Benefits

Competitive salary range: $119,800 - $234,700 per year.

Comprehensive benefits package, including health insurance, retirement plan, and paid time off.

Opportunities for professional growth and development.

Collaborative and inclusive work environment.

Access to cutting-edge technology and resources.