About the role
We’re looking for data scientists to help build the next generation of post-training methods for frontier models at Microsoft AI. You’ll join a small, high-impact team working across all stages of post-training, with a focus on evaluation design, high-quality training data, and scalable data pipelines for state-of-the-art foundation models.
In this role, you’ll help turn raw model capability into reliable, aligned, and measurable performance improvements, directly shaping how frontier models behave in real-world deployments.
About the Role:
Microsoft AI is building the next generation of frontier models that power Copilot and other large-scale AI experiences. The Post-Training team is responsible for transforming powerful pretrained models into robust, aligned, and high-performing systems used by millions of people worldwide.
Our work focuses on improving general quality, instruction following, coding and math ability, tool use, agentic behaviors, personality, and other critical model capabilities. We operate across the full post-training lifecycle — from data generation and curation, to evaluation and diagnostics, to reward modeling and reinforcement learning.
We are a small, highly autonomous team that works closely with pre-training, product, and engineering partners to rapidly iterate on ideas, run large-scale experiments, and safely advance model capabilities. Each team member owns meaningful parts of the post-training pipeline and has direct access to the compute, data, and decision-making needed to move quickly from insight to production.
Microsoft Superintelligence Team
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!
Responsibilities
Design evaluations of advanced model capabilities and use them to drive rapid, high-signal iteration loops
Work with vendors to produce high quality evaluation and training data
Build data pipelines to produce high quality evaluation and training data
Build data flywheels to hill-climb on model weaknesses, using data from various surfaces where our models are deployed
Ensure optimal quality, quantity and coverage of data across our post-training stages
Run post-training experiments and ablations to produce models that climb our evals
Embody our culture and values.
We’re Looking For People Who:
Have deep experience with LLMs, either training them or applying them in production
Have developed production-scale data pipelines for synthesizing, curating, or processing large quantities of data
Can design, run, and interpret large-scale ML experiments with careful statistical and empirical reasoning.
Possess strong generalist engineering and mathematical skills.
Have clear written and verbal communication, and the ability to collaborate effectively with researchers, engineers and other disciplines.
Bonus skills: Demonstrated SOTA results in any area of large-scale training, inference, or evaluation.
Qualifications
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
Skills & Tags
Aplyr's read
Microsoft is a technology giant shaping global computing, attracting talent interested in innovation and impact across software, cloud, and AI sectors.
What's promising
- •Strong commitment to innovation in AI and cloud computing.
- •Diverse range of roles from technical to managerial, offering career growth.
- •Financially stable with a robust global presence and market influence.
What to watch
- •Complex organizational structure can slow decision-making processes.
- •High competition for roles may limit entry-level opportunities.
- •Potential for work-life balance challenges in high-demand positions.
Why Microsoft
- •Pioneer in personal and business computing with a legacy of innovation.
- •Extensive global reach with a diverse workforce and inclusive culture.
- •Leader in integrating AI into mainstream software and cloud services.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Microsoft
Microsoft is a global technology company that develops, licenses, and supports a wide range of software products, services, and devices. Known for its Windows operating system and Office productivity suite, Microsoft has a significant impact on personal and business computing worldwide.
- Founded
- 1975
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