Senior Research Engineer (Toronto)

Hiring Note This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. About the Role We are seeking a Senior 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. You will have a direct impact on our company and develop products and features that delight our customers. Responsibilities Develop and deliver built‑in modern software development practices, involved in the entire lifecycle, building, testing and delivering high‑quality solutions. Build scalable ML solutions – create large scale data processing pipelines to help researchers build and train novel machine learning algorithms, and develop high‑performing scalable systems in large online delivery environments. Be a team player – share information, value diverse ideas, partner with cross‑functional and remote teams. Be an agile person – deliver timely solutions with a solid sense of urgency in a fast‑paced, agile environment. Be innovative – try new approaches, learn new technologies, contribute ideas, create solutions, and be accountable for end‑to‑end deliveries. Be an effective communicator – articulate ideas and collaborate on technical developments with cross‑functional partners and team members. Qualifications Bachelor’s Degree in Computer Science, Related Field, or Equivalent Experience. At least 5 years software engineering experience. At least 2 years working on a machine learning related product or solution. Deep understanding of Python software development stacks and ecosystems. Ability to write clean, reusable, maintainable and well‑tested code. Track record of quickly adopting and applying emerging technologies to solve complex problems. Experience collaborating with applied data scientists to translate research work into production‑ready solutions. Keen interest in real‑world applications and impact. Experience with cloud computing development. Experience with Agile Methodologies. Experience implementing CI/CD, DevOps, and SDLC concepts in application delivery. Experience integrating machine learning and generative AI solutions into production‑grade software. Understanding of ModelOps and MLOps principles. Exposure to NLP problems and familiarity with key tasks such as Named Entity Recognition, Information Extraction, Information Retrieval, Text classification, Summarization, etc. Ability to understand and translate between language and methodologies used both in research and engineering fields. Hands‑on experience in other programming or scripting languages and development stacks (Java, Rust, Scala, Typescript, etc.). Benefits Hybrid Work Model – 2‑3 days a week in the office, with remote flexibility. Flexibility & Work‑Life Balance – work‑from‑anywhere up to 8 weeks per year, flexible work arrangements, and support for personal responsibilities. Career Development and Growth – continuous learning, skill development programs, and leadership pathways. Industry‑Competitive Benefits – health, dental, vision, disability and life insurance, 401(k) with company match, paid time off, mental health days, and other wellbeing resources. Culture – inclusive, collaborative environment with shared values of customer obsession and rapid learning. Social Impact – paid volunteer days off and opportunities to contribute to ESG initiatives and community projects. Real‑World Impact – support customers in pursuing justice, truth, transparency, and advanced data‑driven solutions. Pay Range The base compensation range varies by location. Eligible U.S. locations (e.g., New York City, San Francisco, LosAngeles, Irvine, MC‑Lean, Washington, DC) offer $110,000USD – $204,200USD. Other U.S. cities provide $127,000USD – $235,000USD. Ontario, Canada offers $100,000CAD – $145,000CAD. Base pay is determined by experience, skills, and internal equity and is part of a comprehensive total reward program that may include an annual bonus. EEO & Accommodation Statement ThomsonReuters is an Equal Employment Opportunity Employer. We are committed to diversity, inclusion, and providing reasonable accommodations. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at . We comply with all applicable laws regarding equal opportunity and reasonable accommodations for applicants with disabilities. Apply on Kit Job: kitjob.ca/job/2prgr8