Microsoft Research Engineer – Generative AI Frontiers 

Taiwan, Taoyuan City 

333616627

with ambitious research goalsrtificial Intelligencein several key areasincluding modeling, algorithms,and agentic.lab offers a vibrantenvironment formultidisciplinary research, including an open publication policyand close links to top academic institutions around the world.

some of the hardestand most rewardingin AI.ou will help developnovel ideas inreinforcement learningas well ashelp evolve, mid-training,andthat gave birth to famous modelssuch as Phinew records. You will collaborate with researchers andmany disciplinesadvance thestate of the art inreasoning and agentic AI.

Our lab providesopportunities for experimentationand access toreal-world problems and dataalong withto ship your researchto overcustomers.expand thepareto frontierof AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms.ur projects include Phi, Orca,, Dion,Belief State Transformersamong many others.

Our ongoing research areas encompass but are not limited to:

• Pre-training: language models, action models and multimodal models

• Mid-training: long context extension

• Post-training: e.g., Instruction tuning and reinforcement learning from feedback

• : Enabling LLMs toscale inferencetime compute via reinforcement learning

• Action Models: Trailing models capable oftaking actionin the digital world (e.g.computer use and web agents)

• Orchestration and multi-agent systems: automated orchestration between multiple agents incorporatingcollaboration, humanfeedbackand oversight

If yourskills and

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.

Required Qualifications

• Bachelors in Computer Scienceor relevant field AND 2+ years relatedexperience
  • ORMaster's Degree inComputer Scienceor related field AND 1+ year(s) related experience
  • OR Doctorate inComputer Science or related field
  • OR equivalent experience
• 1+ year(s)experiencedevelopingwithPython andPytorch/JAX.

Preferred Qualifications

• Familiarity witharchitecture and optimizations for large language models.
• Hands-on workin debugging and profilingPytorchdistributed code.
• Basic understanding ofworkingofCUDAkernels.
• Familiarity withpre-training, mid-training and/or post-training pipelines forlanguageand/or multimodal models.
• Foundational understanding ofreinforcement learning andkeychallenges in the field.
• Experience withverl, Ray, Megatronand/orvLLMis a significant plus.
• Any experience in building scalable servicescanbe highlycomplementary.

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

Applied Sciences 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:Microsoft will accept applications and processes offers for these roles on an ongoing basis.

• As a Research Engineer in AI Frontiers, you will design, develop, execute, and implement technology research projects in collaboration with other researchers, engineers, and product groups.
• As a member of aword-class research organization, you will be a part of research breakthroughs in the fieldandplay a crucial role in developing, improving, and exploring the capabilities ofLarge Language Models (LLMs), reasoning and agentic AI.

• Embody our and .