Microsoft Principal Researcher - CoreAI 

Taiwan, Taoyuan City 

348045388

is dedicated topost-training methods for both OpenAI and open-source models. Their workcontinual pre-training,large-scale deep reinforcement learningrunning onextensive GPU resources,significant efforts toand synthesizetraining data.In addition, the team employs various fine-tuning approaches to support both research and product development.

develops advanced AI technologies that integrate language and multi-modality fora range ofMicrosoft products.in developingthose usedopilot and Visual Studio Code, such as code completionsoftware engineering (.

such as, Oscar, Rho-1, Florence, and the open-source Phi models.

Principal Researcher - CoreAIsignificant experiencein 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, evaluation,to inference.

Our team values startup-style efficiency and practical problem-solving.a curious, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact.write efficientcode and debug training jobs, document findings, andtrack recordin these fields.You may include information about any individualswho canserve asyour referral in your.

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.

our culture every day.

Required/Minimum Qualifications

• Doctorate in relevant field AND 5+ years related research experience
  • OR equivalent experience
• 5+ years of coding experiencein Python and experience with ML frameworks such asPyTorchand 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 oflarge-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

• gile, solution-oriented, and able tooperatewith 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.
• Proventrack recordof 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,andaudio-visual modeling
• Hands-on experience withlarge-scale distributed training or serving, andsystemsofthinking.
• Experience working with large, complex datasets and developing data pipelines forLLMtraining
• Demonstrated ability to collaborate within interdisciplinary teams and communicate complex, multimodal research concepts effectively

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:

Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Core Qualifications & Responsibilities:

• Performlarge-scale model training-Especially with LLMs, SLMs, multimodal, or code-specific models.
• Performdatacuration and synthesis-Creating and refining datasets tooptimizetraining outcomes.
• Hands-on coding-write efficient, production-quality code and debug complex training jobs.
• Work onboth proprietary and open-source frameworks-Demonstratedproficiencyin 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 innovationsliketechnicalreportofthewell-knownmodels.
• Develop novel AI solutions that bridge language, vision, and code understanding.
• Help develop models powering tools like GitHub Copilot,Cursor,and VS Code suggestions.

• Embody ourand