About the Role

Lead Research Engineer with expertise in AI and ML, building data‑driven capabilities that transform how legal, accounting, and government professionals work across the globe.

- Provide technical leadership, partnering with engineers to develop and improve methodology and evolve the technology stack by establishing scalable standards and best practices.
- Involve in the entire software development lifecycle, building, testing, and delivering high‑quality solutions using modern development practices.
- Create large‑scale data processing pipelines to help researchers build and train novel machine‑learning algorithms, developing high‑performing scalable systems for large online delivery environments.
- Collaborate in a team‑oriented environment, sharing information, valuing diverse ideas, and partnering with cross‑functional and remote teams.
- Deliver timely solutions in a fast‑paced, dynamic environment with a strong sense of urgency.
- Try new approaches and learn new technologies, contributing innovative ideas, creating solutions, and being accountable for end‑to‑end deliveries.
- Communicate effectively with cross‑functional partners and team members to articulate ideas and collaborate on technical developments.

About You

- ABachelor of Science degree in Computer Science or related field.
- At least 8 years of software engineering experience, ideally in machine learning and natural language processing.
- Experience leading technical workstreams within a software engineering organization.
- Deep understanding of Python software development stacks and ecosystems, with experience in other programming languages and ecosystems considered ideal.
- Ability to drive innovation throughout the entire software lifecycle—specify, design,



build, scale, and maintain Machine Learning systems in production environments.
- Familiarity with the Python data science stack, including Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‑learn, and PyTorch.
- Experience writing clean, reusable, maintainable, and well‑tested code.
- Experience collaborating with research scientists to evaluate, prototype, and productionize research concepts.
- Proficiency in automation, system monitoring, and cloud‑native applications, with familiarity in AWS or Azure or related cloud platform.
- Proficiency in system analysis and design; consider DevOps and automation as fundamental pillars of your work.
- Desire to learn and embrace recent and emerging technologies.
- Familiarity with probabilistic models and understanding of mathematical concepts underlying machine learning methods.
- Demonstrated ability to mentor engineers and elevate team technical practice.
- Experience integrating Machine Learning solutions into production‑grade software with solid understanding of ModelOps and MLOps principles and ability to translate between research and engineering language and methodologies.
- Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition, Information Extraction, and Information Retrieval.




- Hands‑on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).

What’s in it for you

- Hybrid Work Model: flexible hybrid working environment (2–3 days a week in the office depending on the role).
- Flexibility & Work‑Life Balance: supportive policies for caring for family, community, or personal time, including up to 8 weeks of work from anywhere per year.
- Career Development and Growth: learning and skill‑building programs to tackle emerging challenges and lead in AI.
- Industry Competitive Benefits: comprehensive benefit plans including flexible vacation, mental‑health days off, Headspace app access, retirement savings, tuition reimbursement, and wellness resources.
- Culture: inclusive, collaborative environment with focus on customer obsession and rapid learning.
- Social Impact: paid volunteer days and pro‑bono consulting projects.
- Real‑World Impact: contributions to justice, truth, and transparency through trusted, unbiased information.

Compensation

The base compensation range varies by location: U.S. cities (New York City, San Francisco, Los Angeles, Irvine, McLean, Washington, DC) ranges from $146,800 USD to $272,600 USD; eligibility elsewhere ranges from $127,400 USD to $236,600 USD. Ontario, Canada: $140,000 CAD to $175,000 CAD. Base pay is one part of a comprehensive total reward program and may include an annual bonus based on performance.

Equal Employment Opportunity

Thomson Reuters is an Equal Employment Prospect Employer providing a drug‑free workplace. We make reasonable accommodations for applicants with disabilities, including veterans, and for sincerely held religious beliefs in accordance with applicable law.

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📌 Lead Research Engineer (Toronto)
🏢 Thomson Reuters
📍 Toronto