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Senior Applied Scientist, NLP/ML/GenAI(m/w/x)

CHE003 Thomson Reuters Enterprise Centre GmbH
Zug

You oversee model development and research deliverables, collaborating with stakeholders and engineering teams to ensure effective software delivery and alignment with business objectives.

Anforderungen

  • •PhD or Master's with experience
  • •5+ years building IR/NLP systems
  • •Experience writing production code
  • •Experience translating complex problems
  • •Outstanding communication and problem-solving skills
  • •Collaborating with stakeholders in agile manner
  • •(Preferred) Publications at relevant venues

Deine Aufgaben

  • •Manage end-to-end model development.
  • •Guide research, data engineering, and evaluation.
  • •Implement agile methodologies for quick iterations.
  • •Ensure accountability for research deliverables.
  • •Communicate findings in peer-reviewed publications.
  • •Develop patentable ideas for product competitiveness.
  • •Collaborate with stakeholders to define project scope.
  • •Translate business objectives into technical requirements.
  • •Partner with Engineering for software delivery.
  • •Co-design ML Ops processes for model monitoring.

Deine Vorteile

Hybrid work model
Flexible work-life balance
Career development opportunities
Industry competitive benefits
Inclusive company culture
Social impact initiatives
Real-world impact on justice

Original Beschreibung

# Senior Applied Scientist, NLP/ML/GenAI **CHE-Zug-Landis+Gyr-Strasse 3** | **Full time** | **Remote Job: Hybrid** Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. **About the Role:** Senior Applied Scientists are experts in Machine Learning / NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value. **As a Senior Applied Scientist, you will:** * Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation. * Operate in an agile way, pushing for quick iterations guided by customers’ needs. * Be accountable for all research deliverables on small to medium-sized projects * Communicate research in peer-reviewed publications and develop patentable ideas ensuring competitiveness of the company’s products and services. * Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements. * Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining. **About You:** You’re a fit for the role of Senior Applied Scientist if your background includes: * PhD in a relevant discipline or Master’s plus a comparable level of experience * 5+ years of hands-on experience building IR / NLP systems for commercial applications * Experience writing production code and ensuring well-managed software delivery * Demonstrable experience translating complex problems into successful AI applications * Outstanding communication, problem-solving, and analysis skills * Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback * (Preferred) Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD. # LI-AB1 **What’s in it For You?** * **Hybrid Work Model:** We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. * **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. * **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. * **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. * **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. * **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. * **Making a Real-World Impact:** We are one of the few companies globally 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, and qualifications required of employees assigned to this job.*
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