Applied Scientist II, Senior Applied Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Responsibilities
- Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback and thorough evaluation.
- Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations.
- Collaborate with the Responsible AI engineering team to deliver mitigations at scale for Responsible AI customers.
- Refine existing implementations based on operational performance and troubleshoot end-to-end issues.
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 OR Doctorate in Computer Science, Computational Linguistics, or related field OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements.
- Must pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Desired Qualifications
- Master's Degree in Computer Science, Computational Linguistics, related field AND 6+ years related experience OR Doctorate in Computer Science, Computational Linguistics, or related field AND 3+ years related experience 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.
Benefits
- Base pay range for IC3: USD $102,100 - $202,200 per year (US); $133,800 - $219,200 (SF Bay Area/NYC).
- Base pay range for IC4: USD $119,800 - $234,700 per year (US); $160,200 - $261,000 (SF Bay Area/NYC).
- Certain roles may be eligible for benefits and other compensation.
- Applications accepted on an ongoing basis until the position is filled.
Skills
About Microsoft
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Company
MicrosoftJob Posted
3 days ago
Employment Type
Full Time
Work mode
Hybrid
Salary
US$102,100–202,200 / year
Experience Level
Mid-Senior
Locations
United States
Qualification
Applicants
Be an early applicant
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