Overview

TheMicrosoft AI Superintelligence (MAIST) Post Training team is dedicated to advancing post-training methods for both OpenAI and open-source models. Their work encompasses continual pre-training, large-scale deep reinforcement learning running on extensive GPU resources, and significant efforts to curate and synthesize training data. In addition, the team employs various fine-tuning approaches to support both research and product development.

The team also develops advanced AI technologies that integrate language and multi-modality for a range of Microsoft products. The team is particularly active in developing code-specific models, including those used in Github Copilot and Visual Studio Code, such as code completion model and the software engineering (SWE) agent models.

The team has also produced publications as by-products, including work such as LoRA, DeBerTa, Oscar, Rho-1, Florence, and the open-source Phi models.

We are looking for a Member of Technical Staff with significant experience in large-scale model training, data curation, and hands-on coding, ideally from leading research labs. You will develop LLMs, SLMs, multimodal, and coding models using both proprietary and open-source frameworks. Key responsibilities include improving model quality and training efficiency through advanced techniques and data strategies, and managing the full pipeline from data ingestion, evaluation, to inference.

Our team values startup-style efficiency and practical problem-solving. We are seeking a curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact. Candidates must be self-driven, able to write efficient code and debug training jobs, document findings, and demonstrate a track record in these fields. You may include information about any individuals who can serve as your referral in your application.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

Core Qualifications & Responsibilities:

Perform large-scale model training - Especially with LLMs, SLMs, multimodal, or code-specific models.
Perform data curation and synthesis - Creating and refining datasets to optimize training outcomes.
Hands-on coding- write efficient, production-quality code and debug complex training jobs.
Work on both proprietary and open-source frameworks - Demonstrated proficiency in training pipelines and architecture.
Full-stack modeling responsibility - From data ingestion and training to evaluation and inference management.

Research & Innovation:

Contribute to or build on existing innovations like technical report of the well-known models.
Develop novel AI solutions that bridge language, vision, and code understanding.
Help develop models powering tools like GitHub Copilot, Cursor, and VS Code suggestions.

Other:

Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

Doctorate in relevant field AND 3+ years related research experience OR Master's Degree in relevant field AND 4+ years related research experience OR Bachelor's Degree in relevant field AND 6+ years related research experience
- OR equivalent experience.
5+ years of coding experience in Python and experience with ML frameworks such as PyTorch and Triton
3+ years of experience in data curation and synthesis, creating and refining datasets to optimize training outcomes
3+ years of proven ability to design and scale training infrastructure and pipelines in production environments
3+ years of large-scale model training - especially with LLMs, SLMs, multimodal, or code-specific models
Prior research publication record with over 3000 citations

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications

Doctorate in relevant field AND 6+ years related research experience OR Master's Degree in relevant field AND 7+ years related research experience OR Bachelor's Degree in relevant field AND 9+ years related research experience
- OR equivalent experience.
5+ years of coding experience in Python and experience with ML frameworks such as PyTorch and Triton
3+ years of experience in data curation and synthesis, creating and refining datasets to optimize training outcomes
3+ years of proven ability to design and scale training infrastructure and pipelines in production environments
3+ years of large-scale model training - especially with LLMs, SLMs, multimodal, or code-specific models
Prior research publication record with over 3000 citations
Agile, solution-oriented, and able to operate with minimal overhead within a startup style mindset
Self-driven and organized with the ability to take ownership of projects and document findings clearly and effectively.
Proven track record of impactful research - Preferably at leading research labs, with published work or real-world deployments.
Extensive experience with foundation models, including large-scale training, model inference, reinforcement learning, reasoning models, vision-language integration, and audio-visual modeling
Hands-on experience with large-scale distributed training or serving, and systems of thinking.
Experience working with large, complex datasets and developing data pipelines for LLM training
Demonstrated ability to collaborate within interdisciplinary teams and communicate complex, multimodal research concepts effectively

Research Sciences 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

Research Sciences IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 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.