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Microsoft GenAI is hiring a Principal Researcher who will be working at multi-modality (MM) for language models.

The Principal Researcher will join the effort of training MM language models and exploring MM model use cases including MM agents, covering training synthetic data generating for image and videos, pre/post-training and their evaluation and supervised fine-tuning/reinforcement learning from human feedback (RLHF).

This new group, Microsoft GenAI, works on creating novel state-of-the-art AI models, related infrastructure, and customization tooling. It collaborates deeply with OpenAI and many Microsoft teams across the company, such as Azure AI Platform, Microsoft Research, and numerous products.

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

The key responsibilities include: 

• Model development and training specifically for image and videos, including effective image and video encoders to integrate with language models 

• Multimedia data preparation and processing as well as data curation and mixing 

• Performance evaluation on various stages on public and curated datasets 

• Collaboration with Microsoft 1P product groups 

• Research and innovation: participating in the academic research of deep learning, computer vision (CV) and natural language processing (NLP); exploring entire new problems.

• Embody our culture (https://careers.microsoft.com/v2/global/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values) .

Qualifications

Required Qualifications:

• Doctorate in the interdisciplinary areas of deep learning, computer vision and natural language processing (NLP), or a related field AND 3+ years related-research experience

• OR equivalent experience.

• Experience publishing academic papers in conferences as a lead author or essential contributor.

Preferred Qualifications:

• Familiarity with building large-scale machine learning systems via collaborations with a sizable team.

• Proven track record for publishing in relevant research domain.

• Rich experience in modern machine learning, particularly in modern CV, NLP and deep learning.

• Experience in language (or language + vision) model training and evaluation.

• Proficiency in programming languages such as Python, and familiarity with machine learning frameworks such as PyTorch and Triton. 

• Experience with data processing and handling large datasets.

• Ability to work collaboratively in a team and communicate complex concepts effectively.

• Experienced in leading a fast-tracking engineering team in model development 

Research Sciences IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .