Applied Scientist II
Microsoft · Posted Oct 30
Software, cloud computing, artificial intelligence, and hardware services
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About the role
The Purview AI Classification team builds AI capabilities to identify and classify sensitive information at enterprise scale, with a focus on Named Entity Recognition and rigorous AI evaluation. The team develops ML/NLP models and evaluation methodologies to measure accuracy, precision, recall, robustness, and model improvements across diverse datasets and real-world conditions. This Applied Scientist role will drive experimentation, dataset and error analysis, model evaluation, and iterative improvements to NER and classification quality, partnering closely with engineering and product teams.
What you will do
- Design, develop, and deploy AI/ML systems end-to-end, covering data ingestion, feature engineering, model training, evaluation, and production integration.
- Build and optimize Generative AI and LLM-based systems, including agentic workflows, prompt engineering, RAG, and fine-tuning.
- Write production-grade code in Python, C#, etc., with emphasis on scalability, performance, security, testability, and maintainability.
- Partner with engineering, product management, and applied science teams to translate customer/business requirements into robust technical solutions.
- Ship and operate large-scale AI services in the cloud, owning reliability, latency, throughput, accuracy, and cost efficiency.
- Define and execute model evaluation strategies, including offline experimentation, online monitoring, drift detection, bias analysis, and feedback loops.
- Implement MLOps practices, including model CI/CD, versioning, rollout strategies, observability, and live-site monitoring.
- Apply Responsible AI principles covering privacy, security, explainability, fairness, and compliance throughout development and deployment.
- Stay current with advances in GenAI, LLM frameworks, and ML infrastructure, and evaluate their applicability to enterprise security scenarios.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- 5+ years overall experience, including hands-on model development experience and writing production-quality code
- Solid understanding of ML fundamentals, model evaluation, experimentation, and performance trade-offs.
- Experience building or operationalizing LLM / Generative AI systems, including RAG, prompt engineering, or agent-based architectures.
- Ability to collaborate across disciplines and operate autonomously at senior IC scope.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Vice Chair and President
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