Senior Research Engineer

Vor 2 Tagen

Zug, Schweiz TN Switzerland Vollzeit

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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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 Senior Research Engineer if your background includes:

Essential skills & experience:

  • A Bachelor's Degree in Computer Science or Related Field
  • At least 5 years software engineering experience, ideally in the context of machine learning and natural language processing
  • Skilled and have a deep understanding of Python software development stacks and ecosystems; experience with other programming languages and ecosystems is ideal.
  • Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems.
  • Familiar 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
  • Have a desire to learn and embrace new and emerging technology
  • Familiar with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods
  • Familiar with Agile Methodologies.

Preferred skills & experience:

  • Experience integrating Machine Learning solutions into production-grade software and an understanding of ModelOps and MLOps principles
  • Demonstrate 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.
  • Can understand and translate between language and methodologies used both in research and engineering fields
  • Have successfully taken and integrated Machine Learning solutions to production-grade software
  • Exposure to cloud computing development (AWS/Azure).

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:

  • 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.
  • Culture: Globally recognized and award-winning reputation for equality, diversity, and inclusion, flexibility, work-life balance, and more.
  • Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
  • Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
  • Social Impact: Nine employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
  • Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help 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.

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. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

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