Microsoft Turing Team is looking to build the core of Microsoft Copilot for enterprise, aiming to improve the productivity of hundreds of millions of users by advancing large language models (LLMs) and delivering intelligence, quality, and transformative new features in Microsoft 365 Copilot.
Requirements
- 4+ years of experience with end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
- 4+ years experience with shipping internet scale, low latency and high throughput systems AI products.
- 4+ years experience with customer/End-result/Metrics driven in design and development.
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- Publications at top conferences like ACL (Association for Computational Linguistics), EMNLP (Empirical Methods in Natural Language Processing), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), WSDM (Web Search and Data Mining), COLING (International Conference on Computational Linguistics), WWW (World Wide Web Conference), NIPS (Neural Information Processing Systems), ICASSP (International Conference on Acoustics, Speech, and Signal Processing), etc.
Responsibilities
- Evolve our orchestrator to reason more effectively, respond faster, and support new capabilities in multi-modality, agent-based systems, and beyond
- Advance the state of the art in model training—including post-training methods such as fine-tuning and reinforcement learning, high-quality data curation, and experimentation with frontier model training
- Build and deliver model-driven features from concept to production—spanning model development, evaluation, metrics, and A/B testing
- Conduct research and development to push the boundaries of model training, evaluation, and quality assessment for AI solutions.
- Post-train LLMs for enterprise scenarios M365 Copilot and on tenant data to enable task-specific agents and solutions within the enterprise ecosystem.
- Collaborate with engineers and researchers to advance deep learning, natural language processing (NLP), multimodal models, and model optimization techniques.
- Measure, analyze, and report on model performance, quality, and impact using predictive analytics and statistical methodologies.
Other
- This role requires you to be onsite 3 days a week in Microsoft's offices in Redmond, WA.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- 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.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
