Thomson Reuters is seeking a Senior Research Engineer to help create new and innovative capabilities that drive transformation and delight customers by building data-driven capabilities using AI and ML.
Requirements
- At least 5 years software engineering experience.
- At least 2 years working on a Machine Learning related product or solution.
- Have a deep understanding of Python software development stacks and ecosystems.
- Demonstrate ability to write clean, reusable, maintainable and well-tested code
- Have experience with cloud computing development.
- Have experience with Agile Methodologies.
- Have experience implementing CI/CD, DevOps, and SDLC concepts in development of a application.
Responsibilities
- Develop and Deliver: Applying modern software development practices, building, testing and delivering high-quality solutions.
- Build Scalable ML Solutions: Create large scale data processing pipelines to help researchers build and train novel machine learning algorithms.
- Be a Team Player: Working in a collaborative team-oriented environment, sharing information, valuing diverse ideas, partnering 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, delivering timely solutions.
- Be Innovative: Empowered to try new approaches and learn new technologies, contributing innovative ideas, creating solutions, and being accountable for end-to-end deliveries.
- Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, effectively articulating ideas and collaborating on technical developments.
Other
- A Bachelors Degree in Computer Science, Related Field, or Equivalent Experience
- Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.
- Keen interest in real-world applications and impact.
- Flexible hybrid working environment (2-3 days a week in the office depending on the role)
- Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities
