Role overview
- Innovate: You will have the opportunity to innovate and create new state-of-the-art ML/NLP/IR/GenAI approaches at the cutting edge of AI research. You will work closely with a Research Scientist to contribute ideas and work on solving real-world challenges using a wealth of data.
- Experiment and Develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences.
- Collaborate: Working on a collaborative global team of researchers & engineers both within Thomson Reuters and our academic partners at world-leading universities.
- Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models).
Responsibilities
- LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Algorithms & Infrastructure, Alignment, Distributed Training, …)
- Post-training techniques for planning & reasoning (e.g. Agentic pipelines & tool use, LLMs & Knowledge Graphs, Self-reflection & critique, CoT & Reasoning, RAG, …)
- Data-centric Machine Learning (Synthetic & Hybrid Data generation, Curriculum Learning, learned data-mixtures, …)
- Evaluation (Benchmark design, Red-teaming/Adversarial Testing, Hallucination detection & Factuality, Human-in-the-loop testing, ...)
Preferred qualifications
- Experience working on at least one relevant state-of-the-art research topic (see our focus areas) in large language models (LLMs).
- Influential first author publications top-tier venues.
- Impactful open-source contributions.
- Strong software and/or infrastructure engineering skills with supporting evidence.
- Experience training large-scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
- Learning and development: On-the-job coaching, mentorship and learning from a world-leading researcher as well as the opportunity to work with cutting-edge methods and technologies.
- Plenty of data, compute, and high-impact problems: Our interns get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers.
- Competitive compensation: The opportunity to earn while learning new skills.
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
- Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
- Making a Real-World Impact: We are one of the few companies globally 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.
About the company
- PhD student or recent graduate with research experience in a relevant discipline.
- Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR).
- Familiarity with a deep learning framework (e.g. pytorch, jax, tensorflow, …)
- Excellent communication skills to report and present research findings and developments clearly, both orally and in writing.
- Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems.
Tags & focus areas
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