Daniel Marcu Joins Goldman Sachs as a Partner in Engineering and Global Head of AI Engineering and Science
We are pleased to announce that Daniel Marcu will join Goldman Sachs as a partner in Engineering and global head of AI Engineering and Science. In this role, Daniel will work with Engineering leaders across the organization as we further develop and refine artificial intelligence platforms and products at the firm to support and enhance our global teams’ capabilities. He will also focus on ensuring we continue to incorporate industry best practices and effective risk management solutions as we make progress in deploying these transformative tools at our firm. Daniel will join the firm in March.
Rahul Sharma will continue to serve as head of GS AI platform engineering, reporting to Daniel in this capacity, and Bing Xiang will continue to serve as head of AI Research within Engineering, also reporting to Daniel.
About Daniel
Daniel brings more than three decades of experience in world-class R&D organizations to his new responsibilities, having held a number of leadership positions in academia, start-ups and large multinational services and technology companies. His work and research concepts have been incorporated into commercial software and services used by hundreds of millions of customers worldwide, from writing assessment software and statistical machine translation and language services products, to neural machine translation, digital assistant and generative AI services.
Daniel joins Goldman Sachs from Amazon, where he spent eight years and most recently served as vice president of Web and Knowledge Services in Alexa Information and then Amazon Artificial General Intelligence.
Daniel also worked at the Information Sciences Institute and University of Southern California for more than 20 years, including as director of Strategic Initiatives, research associate professor, and research scientist. His prior roles also include serving as chief science officer of SDL plc, and chief technology and operations officer and chief executive officer of Language Weaver Inc., which he co-founded.
Daniel has authored an MIT Press book, as well as more than 100 peer-reviewed scientific publications. He holds more than 35 patents with the US Patent and Trademark Office, and was named an Association for Computational Linguistics Fellow for his significant contributions to discourse parsing, summarization and machine translation, as well as for kickstarting the statistical machine translation industry.
Daniel earned a BSc in Automation and Computers from Technical University of Cluj, Romania, an MSc and PhD in Computer Science from the University of Toronto, and an executive MBA from UCLA Anderson School of Management.
Please join us in welcoming Daniel to the firm and Engineering.
The firm's Office of Alumni Engagement is focused on supporting and engaging the alumni community. If you have any questions or need assistance, please email alumni@gs.com.