Principal Applied Scientist - CoreAI
About The Position
The CoreAI Platform and Tools organization is building transformative experiences that leverage the latest AI technology while upholding Microsoft’s commitment to ethical and responsible standards for Artificial Intelligence. The Responsible AI (RAI) service components you build will be accessed by hundreds of millions of consumers across the globe and will touch all facets of Artificial Intelligence. The Responsible AI team within this division is looking for a Principal Applied Scientist with a proven track record to help tackle the challenges of enabling customers to leverage the latest advancements in AI responsibly. 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.
Requirements
- Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Computer Science, Computational Linguistics or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Computer Science, Computational Linguistics, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Nice To Haves
- Doctorate in Computer Science, Computational Linguistics, or relevant field AND 2+ years related applied science experience OR equivalent experience.
- Proven 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.
Responsibilities
- Doing supervised fine-tuning of LLMs
- Applying Reinforcement Learning from Human Feedback in the process
- And conducting thorough evaluation of those.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
