Job Title: AI Innovator As an AI Innovator, you will play a key role in shaping the future of intelligent productivity tools. This exciting opportunity enables you to drive customer-centric solutions by aligning with business goals and managing stakeholder expectations. You will work at the forefront of applied AI and machine learning, contributing to a culture of innovation, continuous learning, and experimentation. Your mission will be to deliver exciting innovation in Microsoft Copilot, revolutionizing how people work and advancing the state-of-the-art in a way that benefits millions of users. Responsibilities: - Develop and evaluate ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models. - Write production-quality code, apply debugging best practices, and stay current with industry trends. - Drive customer-centric solutions by aligning with business goals and managing stakeholder expectations. - Collaborate cross-functionally to define success metrics and improve AI quality at scale. - Lead research projects that yield new algorithms, tools, or insights solving open problems. - Analyze evaluation outputs to identify gaps in coverage, quality, and usability. - Design experiments, define metrics, and develop ML pipelines for encoder-decoder and cross-encoder models, semantic search, and user intent understanding. Qualifications: - Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field. - 4+ years of experience in predictive analytics, statistics, or research. - Experience with synthetic data generation and data management for evaluation/training. - At least one year of experience publishing patents or peer-reviewed papers. - Deep motivation for user-centric AI and interest in human cognition, memory, and AI. Preferred Qualifications: - Master's degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field. - Experience with large-scale embedding models and transformer architectures. - Familiarity with reinforcement learning and distributed computing platforms. - Proficient analytical skills and experience with telemetry and performance metrics.