Overview
Our team in Microsoft Azure AI platform is at the cutting edge of developing large language model technologies to power Microsoft AI products and offering them as a service for both internal and external applications. We collaborate deeply with OpenAI and numerous Microsoft product teams, including GitHub and Office.
The team is looking for a passionate, creative, and analytical individual contributor with a background in large language modeling. You will work on adapting and grounding large language models for product-driven scenarios. The focus will be on developing deep learning techniques to enhance the custom copilot experience through efficient adaptation of large-scale language models. The work will span multiple stages of adaptation, including supervised fine-tuning and post-training with Reinforcement Learning from Human Feedback (RLHF).
We are looking for a Principal Applied Scientist to join our team.
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.
Qualifications
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Rich experience in large language modeling and related areas.
- Publication in top-tier conferences on large language models 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.
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 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 October 26, 2024.
Responsibilities
- Development for OpenAI models customization and large scale training
- Data preparation, training and evaluation of customization tasks
- Collaboration with product groups in Microsoft
- Research and Innovation; staying updated with the latest research and developments in deep learning and NLP.
Other:
