Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Data Engineer with a passion for solving challenging machine learning problems in a data-rich, complex and innovative environment.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our product teams through foundational 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 while investing in long-term research for the future.
As a Research Engineer, you will be part of a diverse global team of experts. We hire worldleading specialists in SWE /Applied ML, as well as Research, to drive the company’s leading internal AI model development, fueled by an unprecedented wealth of data and powered by cutting-edge technical infrastructure. You will have the opportunity to contribute to a data curation & filtering system combining the best of real-world scalable data processing systems combined with the latest insights into what training data leads to the best LLMs. Thomson Reuters Labs is known for consistently delivering successful datadriven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.
About the Role:
In this opportunity as aResearch Engineer - Data,you will:
Innovate:You will work at the very cutting edge of AI Research at an institution with some of the richest data sources in the world. Through your work, you will help us make the best use of this resource, in a dynamic flywheel that connects data collection & annotation with model training and expert evaluation, helping us continuously improve our training data. You will also develop novel performance-driven data sub-selection methods together with the latest training insights from our researchers.
Engineer and Develop:Design, develop, and optimize scalable data pipelines to support LLM training and evaluation. You will also help us develop this in a robust and testable way, through careful source control and a solid back-up system for various data versioning methods.
Collaborate:Working on a collaborative global team of engineers and scientists both within Thomson Reuters and our academic partners at world-leading universities. In addition, you will work closely with world experts in the legal domain, which can provide feedback to your work and/or evaluate your outputs or annotate training data.
About You:
You're a fit for the role ofResearch Engineer - Data,if your background includes:
Required qualifications:
Relevant degree in a technical discipline.
Interest in & experience working with (applied) machine learning, e.g. few-shot learning with out-of-the-box language models, training of smaller NLP classifiers, etc.
Excellent programming, debugging and system design skills.
Excellent communication skills to report and present software designs and findings clearly, both orally and in writing.
Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems.
Self-driven attitude and ability to work with limited supervision.
Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
Experience with data pipeline orchestration tools.
Experience with cloud-based data platforms such as AWS, GCP, or Azure (e.g., S3, BigQuery, Azure Data Lake Storage).
Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity.
Preferred qualifications:
Additional legal knowledge as evidenced by a degree or interest in the legal domain.
Ability to communicate with multiple stakeholders, including non-technical legal subject matter experts.
Experience with big data technologies such as Spark, Hadoop, or similar.
Experience conducting world-leading research, e.g. by contributions to publications at leading ML venues.
Previous experience working on large-scale data processing systems.
Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries.
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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) 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 Us
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. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
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. 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.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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 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. More information on requesting an accommodation .
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