Senior Research Scientist

Redmond, Washington, United States

Microsoft

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The Azure RAI team is looking for Machine Learning Researchers/Applied Researchers to join the team to build and optimize safety models for various product usages. 

 

The team is focused on how to measure safety and alignment of AI systems to ensure that Microsoft is deploying responsible AI. The work may include doing supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those. 

 

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.

Responsibilities

Job Responsibilities may include but are not limited to  

  • Model Development and Training. 
  • Data Preparation and Processing, as well as data curation and mixing. 
  • Rigorous Performance Evaluation on the pre-trained and/or post-trained models. 
  • Collaboration with product groups in Microsoft.  
  • Research and Innovation; staying updated with the latest research and developments in deep learning and NLP.  

Qualifications

Required/Minimum Qualifications  

  • Doctorate in relevant field
    • OR equivalent experience.  

  

Additional or Preferred Qualifications  

  • Doctorate in Computer Science, Computational Linguistics, or relevant field AND 2+ years related research experience OR equivalent experience.  
  • Experience publishing academic papers as a lead author or essential contributor.

    · Experience participating in a top conference in relevant research domain.

  • Rich experience in machine learning, particularly in NLP and deep learning.  
  • Experience with language model training and evaluation is a big plus.  
  • Experience with research in Responsible AI is a big plus.  
  • Proficiency in programming languages such as Python, and familiarity with machine learning frameworks including PyTorch and Triton.  
  • Experience with data processing and handling large datasets.  
  • Ability to work collaboratively in a team and communicate complex concepts effectively.

 

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 will accept applications for the role until December 2, 2024

 

 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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Tags: Azure Computer Science Deep Learning Linguistics LLMs Machine Learning ML models Model training NLP Python PyTorch Reinforcement Learning Research Responsible AI RLHF

Perks/benefits: Career development Medical leave

Region: North America
Country: United States

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