Microsoft Research Engineer – Generative AI Frontiers 

Taiwan, Taoyuan City 

330083429

AI Frontierslab is seeking applications for the position ofhe mission of thelab is to expand the pareto frontier of AI capabilities, efficiency, and safety through innovations in foundation models and learning agent platforms. Some of our projects includeon Small Language Models (e.g.Phi, Orca), ande.g.).

seeking Research Engineers to join our team and contribute to the advancement of Generative AI and Large Language Models (LLMs) technologies.As a Research Engineer, you will play a crucial role in developing, improving, and exploring the capabilities of Generative AI models. Your work will have a significant impact on the development oftechnologies, advancingand providing practical solutions to real-world problems.

Our ongoing research areas encompass but are not limited to:

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

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

• : Enabling LLMs toscaleinferce-time 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

The AI Frontiers laboffers a vibrant environment for, multidisciplinary, research, including access to diverse, real-world problems and data, opportunities for experimentation and real-world impact, an open publication policy, and close links to top academic institutions around the world.

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 (e.g., statistics, predictive analytics, research)
• OR Doctorate inComputer Science or related field
• OR equivalent experience.
• 2+ years related Machine Learning experience.
• Experience in building Generative AI pipelines and/or integrating Generative AI into applications.

Preferred Qualifications

• Experience in running experiments with LLMs pre-training and/or finetuning.
• Experience in building data collection and curation pipelines.
• Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.
• Keen interest in real-world applications and impact.
• Experience with Python andPyTorch.

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:

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 a-class research organization, you will be a part of research breakthroughs in the field and will be given an opportunity to realize your ideas in products and services used worldwide.