Senior Research Engineer

vor 4 Stunden

Zug, Zug, Schweiz Thomson Reuters Vollzeit

Are you passionate about creating innovative solutions for customers?

We are seeking a talented Sr Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that drive transformation.

As a member of Thomson Reuters Labs, you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.

Our team experiments, builds, and delivers. We support the organization and our customers through applied research and the development of new products and technologies.

As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company's digital transformation.

Key Responsibilities:

  • 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.

Requirements:

  • 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.
  • 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.
  • Pride in writing clean, reusable, maintainable, and well-tested code.
  • 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.

Preferred Skills:

  • Experience integrating machine learning solutions into production-grade software and an understanding of ModelOps and MLOps principles.
  • Demonstrated 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 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.
  • Hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
  • Exposure to cloud computing development (AWS/Azure).
  • Familiarity with Agile Methodologies.

What's in it for you?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

  • A hybrid work model that offers flexibility and work-life balance.
  • A globally recognized and award-winning reputation for equality, diversity, and inclusion.
  • Comprehensive benefit plans, including flexible and supportive benefits for work-life balance.
  • Learning and development opportunities, including LinkedIn Learning access and internal talent marketplace.
  • Social impact initiatives, including employee-driven business resource groups and paid volunteer days.
  • Purpose-driven work that helps uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

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