Thomson Reuters Labs - Recruitment Information Session

Thomson Reuters is hiring for both internships starting in May 2021 and immediate full-time roles! At the event, you’ll hear from key members of Thomson Reuters Labs, ranging from recruitment professionals, data scientists, researchers, hiring managers, past interns and fellow attendees through a combination of large group presentations and small group discussions and networking opportunities.

Your attendance will automatically enter you into a draw to win one of 4, $25 Uber Eats gift cards!

When: Thursday, March 25th from 12:00PM – 1:30PM EST. Feel free to bring lunch!

Who: For all members of Vector’s community seeking career opportunities in AI. These include internships/co-ops, new graduate opportunities and full-time positions. Eligible registrants include Vector researchers, Vector Scholarship in Artificial Intelligence recipients, students enrolled in Vector-recognized master's programs, students of Vector Faculty and Faculty Affiliates, and Vector Alumni.

Where: Remo Online platform. You will receive a separate email from REMO following your registration on Eventbrite. REMO allows for live networking so you can interact in real-time with attendees at the event. This is NOT your typical Zoom webinar!

REGISTRATION CLOSES AT 12 PM NOON ON TUESDAY, MARCH 23.

About Thomson Reuters

Thomson Reuters is a leading provider of business information services and products, which include highly specialized information-enabled software and tools for Legal, Tax & Accounting and Compliance professionals combined with the world’s most global news service, I.e. Reuters News.

Thomson Reuters Labs and Center for AI & Cognitive Computing is the Research Hub for Thomson Reuters supporting products in the Legal, Tax and News domains. We work on difficult problems that make a real difference in some of the most important industries in society.

We focus on problems such as Language understanding, Legal decision support and Search.

We develop industry-leading AI solutions using a wide variety of techniques drawn from traditional AI, Statistical Machine Learning, Deep Learning and more. This is a great place to be challenged by hard problems that have a meaningful impact.

Click this link to view current job postings from Thomson Reuters on the Talent Hub