PhD Intern

Company Overview:

Centific expertly engineers platforms and curates multimodal, multilingual data to empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable Artificial intelligence (AI) deployment. Our team includes over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We leverage an integrated ecosystem comprised of industry-leading partnerships, and 1.8 million vertical domain experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence (Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in Generative AI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by leveraging Generative AI at scale, ensuring they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Website - https://www.centific.com/

Position Title: PhD Intern

Location: Remote

Part-time (Up to 25 hours)

• The company's mission is to empower every person and every organization on the planet to achieve more. Microsoft believes that artificial intelligence will play a critical role in accomplishing that mission. The Microsoft Search, Assistant, and Intelligence (MSAI) group is leading this effort. We are working to change the lives and work of hundreds of millions by building deep intelligence into M365 Chat, Search, Recommendation and Knowledge powered scenarios that people use every day in Outlook, Teams, Windows, Edge, Office, SharePoint, and OneDrive.
• We are looking for a Ph. D. Intern who can bring deep applied science expertise and a proven track record of publishing leading paper on deep reinforcement learning to drive vision and execution for Microsoft 365 AI. As a Applied Scientist Intern in MSAI, you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.

Responsibilities:

• R&D in the area of modern Deep Reinforcement Learning, Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
• Push the boundaries of AI platforms through innovation and partnership.
• Collaborate closely with Microsoft Research, Microsoft Turing, Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
• Qualification:
• BS in Computer Science, Electrical Engineering, Math or equivalent
• Currently Enrolled in a Ph. D. program specialized on AI algorithms from a US leading schools
• Required hands-on experience with modern Deep Reinforcement Learning. Track record of publication on RL is a major plus.
• Outstanding C# and/or Python coding skills
• Excellent written and verbal communication skills
• Results-oriented free thinkers with ability to socialize and drive their ideas into technology are highly desired.

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.