Applied Scientist II / Senior Applied Scientist - Responsible AI (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 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.
Requirements
- Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's 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.
- 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
- Master's 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.
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.
- 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.
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
