Innovative Solutions Engineer

vor 3 Stunden


Zug, Zug, Schweiz Thomson Reuters Vollzeit

At Thomson Reuters, we're seeking a passionate Sr Research Engineer who will bring expertise in AI and ML to help create new and innovative capabilities that drive transformation.

We experiment, build, and deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.

In this opportunity as a Senior Research Engineer, you will:

  • 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.
  • 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.

What does it take to excel in this role?

Essential skills and experience include:

  • A Bachelor's Degree in Computer Science or a related field.
  • At least 5 years of software engineering experience, ideally in the context of machine learning and natural language processing.
  • Proficiency in Python software development stacks and ecosystems, with experience with other programming languages and ecosystems ideal.
  • Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
  • 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 an understanding of the mathematical concepts underlying machine learning methods.
  • Familiarity with Agile Methodologies.

The estimated salary for this position is $140,000 - $180,000 per year, depending on your level of experience.

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through hybrid work models, comprehensive benefit plans, and opportunities for learning and development.



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