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Early Careers Week at Vector!
January 11 - January 14
Beginning to think about internship opportunities for Summer 2022 or post-degree roles? Join us for our Early Careers week in January 2022. Learn how to position yourself for internship and new grad roles and connect with companies recruiting for data and ML roles.Register
*Eligible registrants are Vector researchers, Vector Scholarship in Artificial Intelligence recipients, students enrolled in Vector recognized master’s programs, students of Vector Faculty Affiliates, and Vector Alumni.
Tuesday, January 11, 2022 – RBC/Borealis AI Recruitment Information Session
Connect with RBC and Borealis AI on internship and new graduate roles in areas such as Deep Learning, Reinforcement Learning, Fairness, Optimization and NLP at this dedicated information session. Learn about key AI projects, organizational culture and more. Network with RBC/Borealis AI representatives via live audio and video and make meaningful connections with both ML teams and recruiters.
Friday, January 14, 2022 – Research and Careers in AI: Spotlight on Early Careers
Vector will be hosting numerous organizations across sectors such as financial services, consulting, retail, telecommunications, manufacturing and more for the next installment of our Research and Careers in AI series, spotlighting early career roles. The event will feature a panel session on early career roles, including practical tips for Vector applicants to stand out in the application and interview process for early career roles.
After the panel, network 1-on-1 via Glimpse with companies actively hiring for internships, co-ops and/or full-time new graduate roles. Internships and co-ops would be targeting start dates in Spring 2022, whereas new graduate role start dates would be Spring or Fall 2022. These roles are aimed primarily at individuals with little to no working experience. The Glimpse platform enables resume sharing and the exchanging of social profiles such as LinkedIn, in order for you to maximize your connections.
RBC/Borealis AI Information Session Agenda
January 11, 2022 – 12:00 – 1:30 pm ET
12:00 – 12:40 pm: Presentations from RBC/Borealis AI
Hear from members of Borealis AI and RBC about the interesting projects they’ve been working on, what working at these organizations is like, and various other insider insights.
12:40 – 1:30 pm: Live networking with RBC/Borealis AI representatives
Network using live audio and video in REMO with members of the RBC/Borealis AI team that are looking to hire for AI roles. This is a great opportunity to meet the people behind the job postings that you see online and discuss how you could be a fit for the roles they are hiring for.
Research & Careers in AI: Spotlight on Early Careers Agenda
January 14, 2022 – 12:00 – 2:00 pm ET
Join us for the next installment of our Research and Careers in AI series, spotlighting early career roles. We will be hosting numerous organizations from different sectors to share their insights and participate in the speed networking session.
12:00 – 1:00 pm: Getting Hired in AI: Co-ops, Internships and New Graduate Roles
This panel will focus on discussing early careers roles in AI, what skill sets are required and practical tips for Vector applicants to stand out in both the application and interview process.
Early Talent Recruiter, BMO Financial Group
5 years ago, Alison was a co-op student assisting the Campus Team in placing co-op and internship students within the organization. Upon completion of her diploma, she has successfully transition into a full-time recruiter role in the Campus Recruitment space. She is currently a member of the BMO Campus Recruitment Team, focusing on the hiring of New and Recent Grads in the Technology and Operations Sector.
Business Consultant, Tech Talent Programs, Telus
Amy is a tech industry leader with a background in growing and developing teams. She leads the Engineering & Technology Co-op Program at TELUS, which provides a well-rounded experience to students with a focus on technology and innovation.
Head of Data Science, Deal Advisory, KPMG
Carl is Head of Data Science for KPMG Canada Deal Advisory. With a PhD from Harvard University and years of experience at investment firms and research in pure science and applied data analytics, Carl has employed analytics and finance to unpack data-driven investment insights. Carl’s current and past clients include large financial institutions in Toronto and in New York. He focuses on Data Science, Machine Learning (ML), Natural Language Processing (NLP) and Artificial Intelligence (AI). He is passionate about finance and private investments.
Talent Acquisition Partner- Canada, Thales
Dr. Yannick Lallement
VP, Global Artificial Intelligence & Machine Learning, Scotiabank
Yannick Lallement is the Vice President, Global Artificial Intelligence and Machine learning at Scotiabank, where he works on developing the use of AI/ML technologies throughout the Bank. Yannick holds a PhD in artificial intelligence from the French National Institute of Computer Science. Prior to joining Scotiabank, Yannick worked on a series of AI/ML projects for different companies – most recently he developed a Netflix-style recommender system for TFO, the French educational TV channel.
1:00-2:00 pm: Speed Networking
Network live via Glimpse with members of Vector-affiliated employers in 1-1, 5-minute conversations focused on recruitment for internships/co-ops for May 2022 and/or full-time new graduate roles starting in Spring or Fall 2022. Glimpse enables resume sharing and the exchanging of social profiles such as LinkedIn, in order for you to maximize your connections.
Meet representatives from the following companies:
- Layer 6
- TD Bank Group
- Intact Financial Corporation
- Canvass Analytics Inc.
- Goldspot Discoveries Corp
- FutureCite Inc.