In this opportunity as a Sr Research Engineer, you will: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testingand delivering high-quality solutions.

Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develophigh performing scalablesystems in the context of large online delivery environments.

Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.

Be an Agile Person: With a strong sense of urgency and a desire to work in a rapid-paced, dynamic environment, you will deliver timely solutions. Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments. You are a fit for the Sr Research Engineer if your background includes: A Bachelors Degree in Computer Science or Related Field At least 5 years software engineering experience, ideally in the context of machine learning and natural language processing Are skilled and have a deep understanding of Python software development stacksand ecosystems, experience with other programming languages and ecosystems is ideal.

Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems. Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn Take pride in writing clean, reusable,



maintainable and well-tested code Are familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods Have familiarity with Agile Methodologies.

Experience integrating Machine Learning solutions into production‑grade softwareand have an understanding of ModelOps and MLOps principles Demonstrate proficiency in automation, system monitoring, and cloud‑native applications, with familiarity in AWS or Azure (or a related cloud platform) Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in research and engineering fields Have been successfully taking and integrating Machine Learning solutions to production‑grade software Hands‑on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.) Have exposure to cloud computing development (AWS/Azure). Have familiarity with Agile Methodologies.

Casual and diverse office environment where colleagues come from over 30 countries Competitive salary Hybrid work environment (in‑office & home) Wellbeing scheme including private healthcare, pension, Multisport card and more Learning & Development through company sponsored access to learning, mentorship and networking programs Thomson Reuters Labs is a microcosm of the entire corporation, giving employees who work here: A rich internal network, including senior leadership representing all customer segments and functions.

📌 Engineer, Research Science Engineering (Toronto)
🏢 Thomson Reuters
📍 Toronto