Applied Scientist

Thomson ReutersToronto, ON
Hybrid

About The Position

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Are you excited about working at the forefront of applied research in an industry setting? TR Labs is the AI Research & Development arm of Thomas Reuters. We are seeking scientists with a passion for solving problems using state-of-the-art artificial intelligence and machine learning. What does Thomson Reuters Labs do? We experiment, we build, we deliver. Our core mission is to innovate industry-leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals. We systematically explore and develop new technologies, particularly those in relevant areas of AI/ML, with an unwavering focus on customer problems and opportunities. About the Role As an Applied Scientist, you will develop and implement machine learning and AI solutions to address business problems across Thomson Reuters' legal, tax, and regulatory domains. Working with guidance from senior team members, you will design experiments, build models, and translate research into production-ready features. This role involves strong collaboration with product and engineering teams to deliver measurable impact for customers. You will learn from deep domain experts about a variety of complex and interesting real-world problems.

Requirements

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related field
  • 1-2 years of hands-on experience building systems using modern techniques in information retrieval, NLP, machine learning, or generative AI (examples include deep learning, transformer architectures, hybrid search, dense retrieval, vector databases, or agentic systems)
  • Strong programming skills in Python and familiarity with a modern ML framework (PyTorch, JAX, DeepSpeed, or similar)
  • Experience working with shared codebases and version control systems
  • Familiarity with cloud development environments (AWS, Azure, or GCP)
  • Strong communication and problem-solving skills, with the ability to work effectively across functions
  • Experience implementing and evaluating solutions with large language models and LLM evaluation frameworks (e.g., OpenAI Evals, HELM, LM Harness, or custom tools)
  • Experience with retrieval-augmented generation (RAG), tool-using agents, and agentic frameworks

Nice To Haves

  • Publications or preprints in relevant venues (NeurIPS, ACL, EMNLP, ICLR, SIGIR)
  • Experience with production code and MLOps practices

Responsibilities

  • Develop and implement machine learning and AI solutions to address business problems across Thomson Reuters' legal, tax, and regulatory domains.
  • Design experiments, build models, and translate research into production-ready features.
  • Collaborate with product and engineering teams to deliver measurable impact for customers.
  • Learn from deep domain experts about a variety of complex and interesting real-world problems.

Benefits

  • Hybrid Work Model (2-3 days a week in the office depending on the role)
  • Flex My Way policies designed to help manage personal and professional responsibilities
  • Work from anywhere for up to 8 weeks per year
  • Continuous learning and skill development opportunities
  • Grow My Way programming
  • Skills-first approach to career growth
  • Flexible vacation
  • Two company-wide Mental Health Days off
  • Access to the Headspace app
  • Retirement savings
  • Tuition reimbursement
  • Employee incentive programs
  • Resources for mental, physical, and financial wellbeing
  • Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more
  • Two paid volunteer days off annually
  • Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
  • Market competitive health, dental, vision, disability, and life insurance programs
  • Competitive 401k plan with company match
  • Competitive vacation, sick and safe paid time off
  • Paid holidays (including two company mental health days off)
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident and sickness insurance paid 100% by the employee
  • Optional life and AD&D insurance paid 100% by the employee
  • Flexible Spending and Health Savings Accounts
  • Fitness reimbursement
  • Access to Employee Assistance Program
  • Group Legal Identity Theft Protection benefit paid 100% by employee
  • Access to 529 Plan
  • Commuter benefits
  • Adoption & Surrogacy Assistance
  • Access to Employee Stock Purchase Plan

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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