Principal Applied AI Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

274800.0

Posted On

20 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Applied Science, Multimodal Models, Generative AI, NLP, Deep Learning, Data Analysis, Model Evaluation, Ethics, Privacy, MLOps, Fine-Tuning, Prototype Development, AI Solutions, Statistical Tools, Collaboration, Documentation

Industry

Software Development

Description

Overview As a Principal AI Applied Scientist for Dynamics 365 Contact Center, you will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more through Multimodal Agents powered by Agentic AI. You will contribute to the development and integration of cutting-edge AI technologies (Multimodal LLMs e.g. Speech, Visual, Chat – S2T, TTS etc.) into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, AI applied science, & research to solve complex problems. Your work will directly influence product direction and customer experience. You will be expected to bring technical thought leadership to solve complex problems at scale. AI Mission and Impact We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes. We are looking for a Principal AI Applied Scientist to join our team. This role will combine AI knowledge with applied science expertise and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents. 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. Responsibilities Bringing the State of the Art to Products Build collaborative relationships with product and business groups to deliver AI-driven impact Light weight Fine-tuning (LoRA etc.) of multimodal/MLLM models (Voice assistants etc.) to improve Agent name-entity recognition, Agent Reasoning and Agent Response quality. Multimodal data generation, Voice assistant model evaluations - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis. Implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques. Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps. Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts. Leveraging Research in real-world problems 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. Share insights on industry trends and applied technologies with engineering and product teams. Formulate strategic plans that integrate state-of-the-art research to meet business goals. Documentation Maintain clear documentation of experiments, results, and methodologies. Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing Ethics, Privacy and Security Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring. Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring. Specialty Responsibilities Design, develop, and integrate generative AI solutions using foundation models and more. 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 Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps. Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics Address scalability and performance issues using large-scale computing frameworks. Monitor model behavior, guide product monitoring and alerting, and adapt to changes in data streams. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. 3+ year(s) Experience in developing and deploying live production systems. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Building RAGs and fine-tuning speech language models Whisper, wav2vec2 etc. Understanding of SLU, ASR, TTS, NLP, NLU domain, Fine-tuning techniques. Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow). Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines. 2+ years of experience publishing in peer-reviewed venues or filing patents. Experience presenting at conferences or industry events. 2+ years of experience conducting research in academic or industry settings. #BICJobs Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Principal AI Applied Scientist will advance AI technologies for Dynamics 365 Contact Center, focusing on multimodal agents powered by Agentic AI. Responsibilities include developing AI-driven solutions, collaborating with teams, and ensuring ethical practices in AI development.