Member of Technical Staff, AI Post-Training - MAI Superintelligence Team Post-Training -

Job Description

Overview
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 the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users. 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 and products. 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 shipping models into products that users will love
• Will thrive in a highly collaborative, fast-paced environment
• Have a high degree of craftsmanship and pay close attention to details
• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
• Are willing to meaningfully contribute as individuals with multiple responsibilities and can adjust to shifting priorities

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.

Responsibilities

• Develop data collection, evaluation, and finetuning methods for models.
• Design hypotheses and experiment plans for rapidly iterating on model performance.
• Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality.
• Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love.
• Embody our culture and values.

Qualifications
Required/Minimum Qualifications

• · Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• Expertise in post-training of AI models

Additional or 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.
• Proven research track record in a domain related field supported by exceptional papers

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.