This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
Do you love creating innovative solutions for customers? Then come and apply your skills and passion for technology at Thomson Reuters Labs.
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. As a member of Thomson Reuters Labs, you will have a direct impact on our company and develop products and features that will delight our customers.
What does Thomson Reuters Labs do?
We experiment, we build, we deliver. We obsess over our customers through applied research and development of new products and technologies. In TR Labs, we act fast and learn fast, innovating collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.
About the Role
Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, 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, 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’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.
A 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.
A 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 Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), 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 language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.).
What’s In It For You?
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, including work from anywhere for up to 8 weeks per year.
Career Development and Growth: Continuous learning and skill development initiatives such as Grow My Way programming and a skills‑first approach.
Industry Competitive Benefits: 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: Inclusion, belonging, flexibility and work‑life balance. Our values are Obsess over our Customers, Compete to Win, Challenge Your Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Two paid volunteer days off annually and opportunities to engage in pro‑bono consulting projects and ESG initiatives.
Real‑World Impact: Helping customers pursue justice, truth, and transparency.
Compensation ranges for this role vary by location and are structured in a comprehensive Total Reward program. For U.S. locations, the base compensation range is $110,000 USD - $204,200 USD. For New York City, San Francisco, Los Angeles, Irvine, McLean, VA, Washington, DC, the range is $127,000 USD - $235,000 USD. For Ontario, Canada, the range is $100,000 CAD - $145,000 CAD. Eligible employees may also qualify for an annual bonus based on performance.
Thomson Reuters complies with local laws that require upfront disclosure of expected pay. This role may be eligible for additional benefits as described in the company’s comprehensive benefits package.
Equal Employment Opportunity
Thomson Reuters is an Equal Employment Opportunity Employer. We consider applicants regardless of race, color, sex/gender, pregnancy, gender identity, national origin, religion, sexual orientation, disability, age, marital status, citizenship status, veteran status and any other protected characteristic under applicable law. We stay open to reasonable accommodations for applicants with disabilities.
If you reside in the United States and require an accommodation in the recruiting process, please contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com.
#J-18808-Ljbffr