Senior Research Engineer

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.

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.

Requirements

• 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 in 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.)

Benefits

• Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office depending on the role) while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way policies including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• Career Development and Growth: Culture of continuous learning and skill development with Grow My Way programming and skills-first approach.
• Industry Competitive Benefits: Comprehensive benefit plans including 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: Two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.

Pay

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 $127,000 USD - $235,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $110,000 USD - $204,200 USD. For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 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. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.