Research Engineer

We are seeking a Research Engineer who will bring expertise in AI and ML and is interested in building data‑driven capabilities that transform the way legal, accounting, and government professionals work across the globe.

• Develop and deliver high‑quality solutions, applying modern software development practices throughout the entire software development lifecycle.
• Build scalable machine‑learning solutions: create large‑scale data‑processing pipelines to help researchers build and train novel machine‑learning algorithms.
• Be a team player: collaborate with cross‑functional and remote teams, share information, and value diverse ideas.
• Be an agile person: deliver timely solutions in a fast‑paced dynamic environment.
• Be innovative: try new approaches, learn new technologies, and contribute innovative ideas.
• Be an effective communicator: articulate ideas and collaborate on technical developments with cross‑functional partners.

• Bachelor of Science degree in computer science or a related field.
• At least 2 years of software engineering experience, ideally in the context of machine learning and natural language processing.
• Experience and understanding of Python software development stacks and ecosystems, with additional experience in other programming languages.
• Ability to understand, apply, integrate, and deploy machine‑learning capabilities and techniques into other systems.
• Familiarity with the Python data‑science stack, including Num Py, Sci Py, Pandas, Dask, spaCy, NLTK, and scikit‑learn.
• Take pride in writing clean, reusable, maintainable, and well‑tested code.
• Desire to learn and embrace new and emerging technology.
• Familiarity with probabilistic models and underlying mathematical concepts of machine‑learning methods.
• Proficiency in automation, system monitoring, and cloud‑native applications, with familiarity in AWS or Azure or a related cloud platform.
• Previous exposure to natural‑language‑processing problems and key tasks such as named entity recognition, information extraction, and information retrieval.
• Ability to understand and translate between language and methodologies used in research and engineering.
• Ability to take and integrate machine‑learning solutions into production‑grade software.

• Hybrid work model: flexible hybrid working environment with 2–3 days a week in the office.
• Flexibility & work‑life balance: supportive policies including work from anywhere for up to 8 weeks per year.
• Career development and growth: continuous learning and skill development programs.
• Industry‑competitive benefits: flexible vacation, two company‑wide mental health days, Headspace app access, retirement savings, tuition reimbursement, and employee incentive programs.
• Culture: recognition for inclusion, belonging, flexibility, work‑life balance, and strong values.
• Social impact: two paid volunteer days off annually and opportunities to contribute to pro‑bono consulting and ESG initiatives.
• Making a real‑world impact: support customers in pursuit of justice, truth, and transparency.

Thomson Reuters is an Equal Employment Opportunity Employer. We welcome applicants of all backgrounds, and we provide a drug‑free workplace.