🛡️Verified Opening • Official ATS Direct Apply
Fact-checked by NovaJobs Career Desk • August 2026
📍 Cambridge, East of England, England • Posted 4h ago
Cambridge Residency Program : Applied Scientist in Machine Learning for Multilingual Knowledge Discovery
Offered SalaryCompetitive Pay
Job TypeCompany Public
Location / Work ModeCambridge, East of England, England
Sector / CategoryComputer Hardware Development
📌 Position Snapshot & Hiring Highlights:
• Work Model: Cambridge, East of England, England
• Employment: Company Public
• Verification: 100% Direct Application (Zero Fees)
• Compliance: UK Equality Act 2010
Role Overview & Responsibilities
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 multilingual knowledge discovery to join our two-year Residency Program. Alexandria is a 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, or equivalent experience.
- Strong 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 combining probabilistic and deep neural models or the discovery of strongly typed knowledge in languages other than English.
- Passion to see research having impact on enterprise applications.
- Ability to work in a multi-disciplinary team.
- Desire to get things done.
Preferred:
- Publication record in relevant conferences, such as NeurIPS, ICML, KDD, etc.
- Experience in probabilistic modelling and Bayesian inference.
- Experience in natural language processing (NLP).
- Experience in productizing machine learning research.
- Experience in professional software engineering.
- Knowledge of languages such as Japanese, Dutch, Danish, or Swedish.
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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
🛡️ NovaJobs Editorial Quality & Trust Assurance
This job listing for Cambridge Residency Program : Applied Scientist in Machine Learning for Multilingual Knowledge Discovery at Microsoft was indexed, structured, and verified by the NovaJobs Career Intelligence Desk. All compensation estimates and job descriptions are reviewed to ensure compliance with equal employment standards in the United Kingdom (Equality Act 2010).
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