Lead Research Engineer

Vor 3 Tagen

Zug, Schweiz TN Switzerland Vollzeit

Do you love creating innovative solutions for customers?

We are seeking a passionate Lead 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.

About the Role

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

  1. Be a Leader: Provide technical leadership partnering with other engineers to develop and improve methodology and evolve the technology stack.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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

You are a fit for the Lead Research Engineer role if your background includes:

Essential skills & experience:

  1. A Bachelor's Degree in Computer Science or Related Field.
  2. At least 8 years of software engineering experience, ideally in the context of machine learning and natural language processing.
  3. Experience leading technical workstreams within a software engineering organization.
  4. Deep understanding of Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
  5. Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems.
  6. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn.
  7. Take pride in writing clean, reusable, maintainable and well-tested code.
  8. Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform).
  9. Proficient in system analysis and design; consider DevOps and automation as fundamental pillars of your work.
  10. Desire to learn and embrace new and emerging technology.
  11. Familiarity with probabilistic models and understanding of the mathematical concepts underlying machine learning methods.
  12. Experience leading and/or mentoring teams.
  13. Experience providing guidance around roadblocks for the team.
  14. Experience providing updates to internal stakeholders.
  15. Exposure to cloud computing development (AWS/Azure).

Preferred skills & experience:

  1. Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles.
  2. Previous exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
  3. Experience successfully taking and integrating Machine Learning solutions to production-grade software.

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:

  1. Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles.
  2. Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion.
  3. Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance.
  4. Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company.
  5. Social Impact: Nine employee-driven Business Resource Groups; two paid volunteer days annually.
  6. Purpose Driven Work: We help our customers pursue justice, truth and transparency.

Accessibility

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.

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