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Microsoft GenAI is looking for Senior Research Scientist to join the team on large language model (LLM) training, which will mostly cover supervised fine-tuning, reinforcement learning from human feedback (RLHF), pre and post-training and their evaluation, as well as multi-modalities.  

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 product groups.

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

• Model Development and Training, including pre/post-training.

• Data Preparation and Processing, as well as data curation and mixing.

• Performance Evaluation on the pre-trained model and post-trained models.

• Collaboration with Microsoft 1P product group.

• Research and Innovation: Staying updated with the latest developments in deep learning and Natural Language Processing (NLP).

• 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 relevant field

• OR equivalent experience.

• Experience participating in conference(s) for relevant research domain.

Preferred Qualifications: 

• Doctorate in Computer Science, Computational Linguistics, or a related field AND 3+ years related-research experience 

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

• Experience in language model training and evaluationis a big plus.

• Proficiency in programming languages such as Python, and familiarity with machine learning frameworks 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 IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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) .