Senior Applied Scientist

Do you want to shape the future of the autonomous enterprise and lead the development of intelligent agent-first experiences that transform how businesses operate The Business and Industry Solutions BIS team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI experimentation and enterprise systems In this role you will design and evaluate autonomous agents that deliver measurable improvements in accuracy latency and cost-efficiency You ll lead rapid experimentation cycles develop robust evaluation frameworks and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making You ll collaborate across engineering product and partner teams to ensure agents are performant secure reliable and extensible empowering customers and partners to build on our platform This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale The ideal candidate has prior expertise in natural language processing NLP with a strong foundation in large language model LLM development evaluation and fine-tuning They should have hands-on experience in applying advanced fine-tuning techniques including instruction tuning reinforcement learning from human feedback RLHF and tool-augmented generation to build agents capable of multi-step reasoning and decision-making Familiarity with prompt context engineering context-aware orchestration and integrating LLMs with external tools and APIs is essential The candidate should be comfortable working in a fast-paced experimentation-driven environment leveraging both offline and online evaluation methods to iterate rapidly and optimize agent behavior A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role Responsibilities Deliver impactful solutions by executing high leverage data science and analytics initiatives within a product area or feature team ensuring measurable improvements to user and business outcomes Lead the design and implementation of advanced model fine tuning pipelines including Reinforcement Learning from Human Feedback RLHF to align AI system behavior with user intent and improve performance in real world scenarios Own complex end to end projects that combine technical depth with cross functional collaboration influencing feature direction and prioritization rather than broad organizational investment decisions Foster alignment and trust across partner teams through clear actionable communication and collaborative problem solving Develop and maintain robust measurement systems experimentation frameworks and causal inference methodologies tailored to dynamic AI systems and enterprise scale environments Mentor and support peers by sharing best practices reviewing designs and contributing to a collaborative high performance team culture Leverage AI to streamline workflows and enhance team productivity through intelligent automation and innovation Qualifications Required Qualifications Bachelor s Degree in Computer Science Electrical or Computer Engineering or related field AND 4 years related experience e g statistics predictive analytics research OR Master s Degree in Computer Science Electrical or Computer Engineering or related field AND 3 years related experience e g statistics predictive analytics research OR Doctorate in Computer Science Electrical or Computer Engineering or related field AND 1 years related experience e g statistics predictive analytics research OR equivalent experience 1 years of experience with generative AI OR LLM ML algorithms Preferred Qualifications Experience with MLOps Workflows including CI CD monitoring and retraining pipelines Familiarity with modern LLMOps frameworks e g LangChain PromptFlow 3 years of experience publishing in peer-reviewed venues or filing patents Experience presenting at conferences or industry events 3 years of experience conducting research in academic or industry settings 1 year of experience developing and deploying live production systems 1 years of experience working with Generative AI models and ML stacks Experience across the product lifecycle from ideation to shipping Other Requirements bility 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 BICJobs Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex including pregnancy sexual orientation or any other characteristic protected by applicable laws regulations and ordinances If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process please send a request via the