Summary:
Are you a curious and open-minded individual interested in programming and machine learning? Thomson Reuters Labs in Toronto is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.
As an intern, you will be part of a diverse, interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.
This Thomson Reuters Labs team contributes to several major products that serve research and workflow products to tax and accounting professionals. It is the fastest growing segment of our company, in terms of organic revenues. We are looking for internship candidates on the cutting edge of AI to join us in delivering automation to our tax and accounting customers through transformative enhancements to these products.
About the role
As a data scientist/research scientist intern, you will:
Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.
Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.
About You:
PhD student or MSc recent graduate in a discipline relevant to NLP/IR/ML/Statistics,
Practical and relevant experience building NLP/IR/ML systems, from ideation to implementation,
Software engineering skills for prototyping,
Proficiency in implementing solutions using Python, DL frameworks, and relevant tools,
Experience in using code collaboration and versioning systems such as Github,
Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud,
Data-driven problem-solving and decision-making mindset,
Curious and innovative disposition capable of proposing outside-the-box solutions,
Comfortable in communicating (verbal and written) complex AI solutions to audiences with diverse technical backgrounds.
Preferred qualifications:
Ability to translate academic research into working prototypes and experience experimenting with novel NLP/IR/ML models to solve real-world problems,
Familiarity with generative AI and large language models (LLMs),
Self-driven attitude and ability to work with limited supervision,
Team player and comfortable to collaborate with internal team members and external stakeholders,
Comfortable in working in fast-paced, agile environments managing uncertainty and ambiguity,
Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues are a bonus.
The preferred length of an internship position is 8 months.
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What’s in it For You?
You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:
Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more
Social Impact: Eight employee-driven Business Resource Groups; Environmental, Social and Governance (ESG) initiatives for local and global impact
Purpose-Driven Work: We have a superpower we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
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More information about Thomson Reuters can be found on https://thomsonreuters.com.
