Senior Applied Scientist
Microsoft · Redmond, WA · Applied Sciences
About this role
Microsoft is hiring a senior-level Applied Scientist in the machine learning function based in Redmond, WA. The posting calls out experience with TensorFlow, PyTorch, LLMs, Deep Learning. Compensation is listed at $119,800–$234,700 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Redmond, WA
- Department
- Applied Sciences
- Posted
- May 18, 2026
More roles at Microsoft
Job description
from Microsoft careersWe are building the next generation of AI-powered recommendation and generative experience systems across Microsoft’s consumer ecosystem, including Edge, Windows, Mobile, Copilot, and Microsoft Start Network (MSN). Our team owns the end-to-end personalization stack, spanning large-scale retrieval, deep ranking, whole-page optimization, reinforcement learning, and LLM(Large Language Model)-powered generative experiences.
We develop intelligent, context-aware systems that optimize engagement, quality, trust, and monetization on a global scale, serving billions of requests daily with low-latency production infrastructure.
You will work on cutting-edge challenges in recommendation systems, personalization, and generative AI, including:
- Large-scale retrieval, ranking, and reranking systems.
- Deep learning models for engagement and long-term user satisfaction.
- Sequential and context-aware recommendation using Transformers, DLRM, MMoE, and multi-task learning.
- Whole-page optimization across content, ads, layout, and user experience.
- Multi-objective optimization balancing engagement, quality, and revenue.
- LLM-powered generative and agentic experiences.
- Multi-agent systems for retrieval, grounding, summarization, and content generation.
- Real-time personalization, experimentation, and online learning systems.
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.