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- Tasks: Lead AI solutions in NLP and ML to enhance Thomson Reuters products.
- Company: Thomson Reuters Labs innovates at the intersection of technology and information retrieval.
- Benefits: Enjoy a hybrid work model, flexible vacation, and comprehensive health benefits.
- Why this job: Join a team making real-world impacts through cutting-edge AI research and development.
- Qualifications: PhD or Master's with 5+ years in NLP/ML; strong coding and communication skills required.
- Other info: Contribute to social impact initiatives and enjoy a culture of inclusion and growth.
The predicted salary is between 43200 - 72000 £ per year.
Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval, natural language processing and machine learning. We work closely with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team is responsible for designing the next generation of tax, accounting and audit compliance software for Tax Professionals and Corporates in the US, and across the global markets. We own AI innovation for Thomson Reuters’ core tax products.
About the Role: Senior Applied Scientists are experts in Machine Learning / NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.
As a Senior Applied Scientist, you will:
- Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation.
- Operate in an agile way, pushing for quick iterations guided by customers’ needs.
- Be accountable for all research deliverables on small to medium-sized projects.
- Communicate research in peer-reviewed publications and develop patentable ideas ensuring competitiveness of the company’s products and services.
- Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements.
- Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining.
About You: You’re a fit for the role of Senior Applied Scientist if your background includes:
- PhD in a relevant discipline or Master’s plus a comparable level of experience.
- 5+ years of hands-on experience building IR / NLP systems for commercial applications.
- Experience writing production code and ensuring well-managed software delivery.
- Demonstrable experience translating complex problems into successful AI applications.
- Outstanding communication, problem-solving, and analysis skills.
- Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback.
- (Preferred) Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD.
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role).
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, mental health days off, access to wellness apps, retirement savings, tuition reimbursement, and resources for wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more.
- Social Impact: Make an impact in your community with our Social Impact Institute.
- Making a Real-World Impact: We help our customers pursue justice, truth, and transparency.
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media.
Senior Applied Scientist, NLP/ML/GenAI employer: Thomas Reuters
Contact Detail:
Thomas Reuters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist, NLP/ML/GenAI
✨Tip Number 1
Familiarise yourself with the latest trends and advancements in NLP, ML, and Generative AI. Being well-versed in current technologies and methodologies will not only boost your confidence but also demonstrate your passion for the field during discussions.
✨Tip Number 2
Engage with the Thomson Reuters Labs community on platforms like LinkedIn or Twitter. Following their updates and participating in discussions can provide insights into their projects and culture, which you can reference in your conversations.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that involved collaboration with product and engineering teams. Highlighting your experience in agile environments will show that you can adapt and thrive in their fast-paced setting.
✨Tip Number 4
Consider publishing your research or insights in relevant forums or conferences. Having a strong publication record, especially in venues like ACL or NeurIPS, can significantly enhance your profile and make you stand out as a candidate.
We think you need these skills to ace Senior Applied Scientist, NLP/ML/GenAI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning, NLP, and generative AI. Focus on relevant projects and achievements that align with the responsibilities of a Senior Applied Scientist at Thomson Reuters Labs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for applied research and how your background fits the role. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work collaboratively with stakeholders.
Highlight Publications: If you have publications in relevant venues like ACL or NeurIPS, make sure to include them in your application. This will showcase your expertise and commitment to the field of NLP and machine learning.
Showcase Communication Skills: Since the role requires outstanding communication skills, provide examples in your application of how you've effectively communicated complex ideas to diverse audiences, whether through presentations, publications, or collaborative projects.
How to prepare for a job interview at Thomas Reuters
✨Showcase Your Technical Expertise
As a Senior Applied Scientist, you'll need to demonstrate your deep understanding of NLP, ML, and generative AI. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. Highlight any relevant publications or contributions to the field.
✨Understand the Business Context
Thomson Reuters Labs focuses on delivering solutions that align with business objectives. Research their products and think about how your skills can enhance their offerings. Be ready to discuss how you would translate user needs into technical requirements.
✨Emphasise Collaboration Skills
The role requires working closely with product and engineering teams. Prepare examples of how you've successfully collaborated in an agile environment, showcasing your ability to iterate based on customer feedback and work effectively with diverse stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice articulating your thought process when tackling complex issues, especially in the context of AI applications. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
