Full Time Opportunities, Cambridge Residency: Post-Doc Researcher / AI Resident – Machine Learning for Knowledge Discovery

Key Skills

Python Programming, Machine learning techniques, Bayesian networks, Natural Language Processing (NLP), Statistics, C# Programming

Job Description

Want to help revolutionize how millions of people do their work? The?Alexandria?team?in?Microsoft?Research Cambridge (UK) invites machine learning and AI researchers with a focus on knowledge discovery to join our two-year Residency Program. Alexandria is multi-disciplinary research project with the goal of automatically?extracting?business knowledge into a single, consistent knowledge base, made up of the entities that really matter to each organization.?Partnering with product groups across Microsoft,?we have launched the first Microsoft 365 service to?transform?an organization’s data?into?actionable?knowledge:?Viva Topics. The Alexandria project?brings together researchers with diverse backgrounds in machine learning, social science?and?design,?and engineering, and now sits at the heart of the knowledge discovery revolution in Microsoft.?

This is an exceptional opportunity to drive ambitious machine learning research while collaborating with domain experts to push?the?state of the art?in knowledge and process automation with the potential for enormous?real-world impact.

Responsibilities

• Develop and drive an ambitious research agenda in machine learning for?enterprise knowledge discovery with a vision for product impact.
• Work closely in a team of machine learning and social science researchers, software engineers, and user experience designers to ideate and implement novel models and experiences.?
• Collaborate with product groups across Microsoft to rapidly deploy the novel research in real-world applications and ensure its effectiveness in the live system.

Qualifications Required:

• PhD in machine learning, statistics, or a related field.
• Publication record in relevant conferences, such as?NeurIPS, ICML, KDD, etc.
• Good?software design and implementation skills with an?object-oriented?programming language, such as Python, C#, etc.
• Willingness to learn about related or new research domains, such as strongly typed knowledge discovery, modeling of organizational processes, and combining probabilistic and deep neural models.
• Passion to see research having?impact on?enterprise applications.
• Ability to work in a multi-disciplinary team.

?Preferred:?

• Experience in probabilistic modelling and Bayesian inference.
• Experience in natural language processing?(NLP).?
• Experience in productizing machine learning research.