Microsoft's Business & Industry Copilots (BIC) group is looking to solve business problems by developing the platform for Dynamics 365 and Power Platform suites, enabling organizations to revolutionize the creation of Copilots through state-of-the-art AI solutions and product offerings. This involves leveraging data, AI, and productivity tools to deliver unmatched experiences across all channels.
Requirements
- 1+ years of experience with transformer-based models (e.g., GPT, Llama).
- 1+ years of experience in coding and design, specifically in the development of AI models for production services.
- 1+ years of experience in shipping applied research to production, combining coding skills with advanced expertise in AI model development.
- Professional, working expertise in one or more of the following: supervised learning, deep learning, natural language processing, reinforcement learning, computer vision, time series forecasting, or causal inference.
- 3+ years of experience programming with C is preferred
- Relevant experience in Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs) or Vision, Audio, and Multimodal Foundation Models or agentic Systems or Prompt Tuning or Natural Language Processing or Human-AI Interaction
- 3+ years of experience demonstrating problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
Responsibilities
- Design and develop advanced AI models and agentic systems for real-world applications.
- Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
- Stay up to date with the latest advancements in LLM, NLP, deep learning, search and AI research.
- Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
- Collaborate closely with engineering, product, and research teams to productionize models, build scalable, robust pipelines and provide support for in production AI Models/Agents
- Deliver end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.
- Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
Other
- Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- 3+ years of experience demonstrating a growth mindset, customer obsession, and Inclusion.
- Embody our Culture, Values & Responsible AI standards
