Research Engineer

About the Role

In this opportunity as a Research Engineer, you will:

• Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, designing, building, testing and 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 develop high performing scalable systems 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, and partner with cross‑functional and remote teams.
• Be an Agile Person: With a strong sense of urgency and a desire to work in a fast‑paced, dynamic environment, you will deliver timely solutions.
• Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end‑to‑end deliveries.
• Be an Effective Communicator: Through dynamic engagement and communication with cross‑functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.

About You

• A Bachelor of Science degree, computer science or related field.
• At least 2 years software engineering experience, ideally in the context of machine learning and natural language processing.
• Experience and understanding of Python software development stacks and ecosystems, ideally also experience with other programming languages and ecosystems.
• Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
• Familiarity 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.
• A desire to learn and embrace new and emerging technology.
• Familiarity with probabilistic models and understand the mathematical concepts underlying machine learning methods.
• Proficiency in automation, system monitoring, and cloud‑native applications, with familiarity in AWS or Azure (or a related cloud platform).
• 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.
• Ability to understand and translate between language and methodologies used both in research and engineering fields.
• Ability to take and integrate Machine Learning solutions to production‑grade software.

Benefits

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work‑Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset.
• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real‑world solutions.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more.
• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro‑bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
• Making a Real‑World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.

Salary & Compensation

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $101,600 USD - $188,700 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $88,200 USD - $163,800 USD. For Ontario, Canada, the base compensation range for this role is $80,000 CAD - $100,000 CAD.

Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

Equal Employment Opportunity

We seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug‑free workplace.

Accommodations

Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law.