$100,600–$199,000 Per Year
Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Background Investigation, Cloud Computing, Communication Skills, Computational Linguistics, Computer Science, Data Analysis, Data Processing, Data Sets, Debugging Skills, Deep Learning, DevOps, Emerging Technology, Identify Issues, Integrated Circuits (ICs), Machine Learning, Microsoft C# (C Sharp), Microsoft Product Family, Modeling Languages, Natural Language Processing (NLP), Predictive Modeling, Programming Languages, Python Programming/Scripting Language, Reinforcement Learning, Research Skills, Risk Analysis, Safety/Work Safety, Statistics, Team Player, Technical Leadership, Test Driven Development (TDD), Unit Test
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 an experienced Applied Scientist II and a Senior Applied Scientist with a proven track record to help tackle the challenges of enabling customers to leverage the latest advancements in AI responsibly.
Responsibilities
- Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those.
- Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations, enabling agent creators to identify potential risks and apply appropriate safeguards to ensure the safety and security of Agents.
- You will collaborate closely with the Responsible AI engineering team to deliver these mitigations at scale for Responsible AI customers, refine existing implementations based on operational performance, and troubleshoot and resolve end-to-end issues.
Qualifications
Required Qualifications:
- Bachelors Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Masters Degree in Computer Science, Computational Linguistics, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Computer Science, Computational Linguistics, or related field
- 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:
- Masters Degree in Computer Science, Computational Linguistics, related field AND 6+ 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.
- 2+ years of science experience owning feature design, model development, evaluation and deployment.
- 3+ years of science experience owning feature design, model development, evaluation and deployment. Full stack (client-to-service) development experience is a plus.
- 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, C#, and familiarity with machine learning frameworks including PyTorch and Triton.
- Experience with data processing and handling large datasets.
- Experience in engineering methodologies: Unit testing, Test Driven Development, DevOps, and a firm commitment to quality.
- Solid platform/API design, debugging and data analysis skills.
- Ability to work collaboratively in a team and communicate complex concepts effectively.
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.
M
Microsoft
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