Member of Technical Staff - 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 every day. The model 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 coding,  reasoning and instruction following, math, and various agentic tasks, among many other areas. This role involves contributions to all stages of the 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 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 model training,  data recipe,  and their research. Have experience with synthetic data generation,  data curation and cleaning, Prior training and RL, evaluation, 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. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI , created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

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

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.

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C,