Research Engineer

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 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.

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

What's in it For You?

• Hybrid Work Model:
  We've adopted a flexible hybrid working environment 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. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• 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. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
• 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. We live by our values:
  Obsess over our Customers, Compete to Win, Challenge (Y) our Thinking, Act Fast / Learn Fast, and Stronger Together.
• 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…