Microsoft is looking for a Senior Applied AI Scientist to join their Customer Service Applications Team. The goal is to advance Microsoft's mission by developing and integrating cutting-edge AI technologies into products and services, ensuring they are inclusive, ethical, and impactful. The role aims to solve complex problems by applying expertise in machine learning, data science, and AI, directly influencing product direction and customer experiences, and contributing to a vision of an open architecture platform for tailored AI agents.
Requirements
- 1+ year(s) experience developing and deploying live production systems, as part of a product team.
- 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- Experience across the product lifecycle from ideation to shipping.
- Experience developing and deploying live production systems, as part of a product team.
- Experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- Experience across the product lifecycle from ideation to shipping.
- Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems.
Responsibilities
- Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
- Fine-tune foundation models using domain-specific datasets.
- Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
- Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.
- Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
- Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.
- Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, and optimization techniques to adapt out-of-the-box solutions to particular business problems.
Other
- 3 days / week in-office
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check*
- Build collaborative relationships with product and business groups to deliver AI-driven impact
- Contribute to papers, patents, and conference presentations.
