Lead Research Engineer

Lead Research Engineer – Thomson Reuters Labs

Lead a global interdisciplinary team of experts to design and deliver data‑driven AI solutions that transform how legal, accounting, and government professionals work worldwide.

• Provide technical leadership and establish standards and best practices that scale.
• Lead end‑to‑end software development, building, testing, and delivering high‑quality solutions.
• Create large‑scale data processing pipelines and high‑performing ML systems in online delivery environments.
• Collaborate in a team‑oriented environment, sharing information and partnering with cross‑functional and remote teams.
• Demonstrate agility, delivering timely solutions in a fast‑paced environment.
• Contribute innovative ideas, experiment with new approaches, and own end‑to‑end delivery.
• Communicate complex ideas effectively with cross‑functional partners and team members.

• Bachelor of Science degree in computer science or a related field.
• At least 8 years of software engineering experience, ideally in machine learning and natural language processing.
• Experience leading technical work streams within a software engineering organization.
• Deep understanding of Python software development stacks and ecosystems; experience with other programming languages ideal.
• Drive innovation throughout the software lifecycle: specification, design, build, scale, and maintain ML systems in production.
• Familiarity with the Python data science stack (Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‑learn, PyTorch).
• Write clean, reusable, maintainable, and well‑tested code.
• Collaborate with research scientists to prototype and product ionize research concepts.
• Proficiency in automation, system monitoring, and cloud‑native applications with AWS or Azure.
• Solid system analysis and design skills; treat Dev Ops and automation as fundamentals.
• Desire to learn and adopt new and emerging technology.
• Knowledge of probabilistic models and underlying mathematical concepts of ML methods.
• Mentor engineers and elevate team technical practice.
• Integrate ML solutions into production‑grade software with understanding of Model Ops and MLOps principles.
• Experience with NLP tasks such as named entity recognition, information extraction, and information retrieval.
• Hands‑on experience in other programming and scripting languages (Java, Type Script, JavaScript).

• Hybrid work model: 2‑3 days a week in office for office‑based roles with seamless digital and physical connection.
• Flexibility & work‑life balance:
  Supervised policies, work from anywhere up to 8 weeks per year, and support for personal responsibilities.
• Career development and growth:
  Continuous learning, skill development, and strategic programming to thrive in an AI‑enabled future.
• Industry‑competitive benefits:
  Flexible vacation, 2 company‑wide mental health days, Headspace access, retirement savings, tuition reimbursement, and wellness resources.
• Culture:
  Global inclusion, belonging, flexibility, and values of customer obsession, win‑competitiveness, and collaboration.
• Social impact:
  Two paid volunteer days annually, pro‑bono consulting projects, and ESG initiatives.
• Real‑world impact:
  Contribute to justice, truth, and transparency worldwide.

Base compensation ranges: $146,800‑$272,600 USD for select U.S. locations; $127,400‑$236,600 USD for other U.S. locations; $140,000‑$175,000 CAD in Ontario. Additional annual bonus may apply.

Thomson Reuters is an Equal Employment Opportunity Employer. We provide reasonable accommodations for applicants with disabilities and meet all applicable anti‑discrimination laws.