Research Engineer - TR Labs

#
** Our Privacy Statement & Cookie Policy
** Research Engineer - TR Labs page is loaded## Research Engineer - TR Labs remote type:
Hybrid locations:
Switzerland, Zug, Zugtime type:
Full time posted on:
Posted Todayjob requisition :
JREQ
198584

Do you love creating innovative
** Research Engineer
** who willbringexpertisein

AI and ML andisinterestedinbuilding data-driven capabilities that transform the way legal, accounting, and government professionals work across the globe.

As amember of Thomson Reuters Labs in London, you will haveadirect impact on our company and develop products and features that will delight our customers.

We experiment, we build, we deliver. We obsess over our customers through applied research and development of new products and technologies. In TR Labs, we act fast and learn fast, innovating collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News.
As a
** Research Engineer
** at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hi reengineers and specialists across a variety of AI research areasto drive the company’s digital transformation.

The science and engineering of AI are rapidly evolving.

Weare looking for an adaptable learner who can design with the customer in mind, thinkincode and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces.

** About the Role
** In this opportunity as a
** Research Engineer,
** you will:
* Develop and Deliver:

Applying modern software development practices, you will be involved in the entire software development lifecycle, designing, 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. You willdevelophigh performing scalablesystems in the context of large online delivery environments.
* 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.
* Be an Agile Person:
Witha strong senseof urgency and a desire to work in a fast-paced, dynamic environment, you will delivertimelysolutions.
* Be Innovative:

You are empowered to trynew approaches and learnnew 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.

** About You
** Essential skills & experience
* ABachelor of Science degree, computerscienceor related field
* At least2years software engineering experience, ideally in the context of machine learning and natural language processing
* Experience andunderstanding of Python software development stacksand ecosystems, ideally also experience with other programming languages and ecosystems.
* 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
* Take pride in writing clean, reusable, maintainable and well-tested code
* A desire to learn and embrace new and emerging technology
* Familiarity with probabilistic models andunderstandthe mathematical concepts underlying machine learning methods

Preferred skills & experience
* 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 andhavefamiliarity 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
* Ability to take and integrate Machine Learning solutions to production-grade software#LI-FP3
* ** Hybrid Work Model:
** We’ve adopted a flexible hybrid working…