Member of Technical Staff - AI Post Training

At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.  The AI Post-Training team at Microsoft AI is responsible for all aspects of post-training and improving our pre-trained models to advance the state-of-the-art on a wide variety of internal and external benchmarks. Our goal is to push our models’ capabilities in reasoning and instruction following, math, code, and tool use and agentic tasks, among many other areas. 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.  We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who: 

• Are passionate about advancing the state of post-training research;
• Have experience with reward modeling, RL, or other post-training techniques; 
• Will thrive in a highly collaborative, fast-paced environment; 
• Have a high degree of craftsmanship and pay close attention to details, consistently striving for engineering excellence.;
• Are willing to contribute meaningfully as individuals and take end-to-end ownership of projects

 Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 

Responsibilities

• Develop data collection, evaluation, and post-training methods for models. 
• Design hypotheses and experiment plans for rapidly iterating on model performance.  
• Embody our culture and values. 

Qualifications

Required Qualifications 

• 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.  
• Have experience with reward modeling, RL, or other post-training techniques.

 Preferred Qualifications 

• Demonstrated experience in large-scale AI.  
• Passionate about conversational AI and its deployment.  
• Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.    
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.   
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.   

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

 

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