Research Engineering Intern

vor 1 Tag

Zug, Schweiz Thomson Reuters Vollzeit

Are you a curious and open-minded student with an interest in engineering and technologies like cloud computing or machine learning? Thomson Reuters Labs in Zug is seeking a Research Engineering Intern with a passion for problem-solving using state-of-the-art Machine Learning and Data Engineering techniques.

What does Thomson Reuters Labs do?

We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

As a Research Engineering Intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

**About The Role**:
As a Research Engineering Intern, you will:

- ** 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.
- ** Collaborate**: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.
- ** Innovate**:You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.

The usual internship duration is 6 months - the starting date is flexible.

**About You**:
You are fit for the Research Engineering Intern role if your background includes:

- Required qualifications:_
- Pursuing a Master's or Bachelor's degree in Computer Science, Information Technology or a related discipline.
- Proficiency in programing in Python and a deep understanding of related software development stacks and ecosystems.
- Ability to write clean, reusable, maintainable and well-tested code.
- Desire to learn and embrace new and emerging technology.
- Strong communication and collaboration skills.
- Preferred _qualifications_:_
- Experience in using code collaboration and versioning systems such as GitHub.
- Understanding of Natural Language Processing, and/or Machine Learning methods including Large Language Models.
- Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud and a basic understanding of MLOps tools.
- Comfort working with unstructured datasets and knowledge about tools and techniques for data cleaning and processing.

If you are excited about this opportunity, meet most of the above criteria, and are eager to learn, we want to hear from you

LI-IG1

**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.
- ** Wellbeing**: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: two company-wide Mental Health Days Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
- ** Culture**: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
- ** 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**: Eight 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.
- DISCLAIMER _
- The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities,

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