Applied Scientist I Thomson Reuters Labs

Thomson Reuters

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profile Job Location:

Zug - Switzerland

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Applied Scientist I - Thomson Reuters Labs

This position will be based in Zug with hybrid working available.

Want to play a crucial role in advancing the science of evaluating LLMs and intelligent agents Join Thomson Reuters Labs where we experiment build and deliver cutting-edge AI systems that empower professionals worldwide.

This is a great role for a Masters or PhD graduate with a keen interest in experimental design data analysis and communicating technical findings clearly to create operational products. Our flagship AI assistant CoCounsel helps legal tax and business professionals work smarter. Were expanding our LLM Evaluation team focused on developing automated scalable and trustworthy evaluation frameworks that measure model reasoning reliability and alignment.

At Thomson Reuters Labs we blend applied research with real-world impact. Our scientists work on projects spanning LLM reasoning benchmarking grounding and agentic behaviorall aimed at ensuring our AI systems are effective explainable and robust. We believe that rigorous evaluation is the foundation of responsible AI. This role offers the opportunity to push the boundaries of auto-evaluation LLM-as-a-judge and agentic evaluation methodologies influencing how AI systems are measured and improved at scale.

About the Role

As an Applied Scientist Iat TR Labs you will:

  • Design and Conduct Evaluations: Develop and execute evaluation pipelines for LLMs and agentic systems assessing reasoning factual accuracy and alignment.

  • Automate and Scale: Build tools and frameworks for automatic evaluation including synthetic dataset creation LLM-as-a-judge workflows and continuous benchmarking systems.

  • Collaborate and Translate: Partner with applied scientists ML engineers and product managers to translate evaluation results into model improvements and product insights.

  • Research and Experiment: Prototype new evaluation metrics contribute to internal reports and support publications or presentations on evaluation methods.

  • Champion Best Practices: Promote reproducibility transparency and ethical AI evaluation within the team and broader organization.

About You

Youre a great fit for this position as Applied Scientist I at TR Labs if you have:

  • PhD in Computer Science Artificial Intelligence Machine Learning or a related field (exceptional Masters candidates with equivalent experience will be considered).

  • Research or hands-on experience with large language models NLP evaluation or agent-based AI systems.

  • Strong understanding of LLM performance measurement prompt evaluation and reliability testing.

  • Proficiency in Python and familiarity with ML libraries such as PyTorch Transformers and LangChain.

  • Comfort with experimental design data analysis and communicating technical findings clearly.

If you have any of the following we would like to hear more about this on your application:

  • Experience with LLM evaluation frameworks (e.g. OpenAI Evals HELM LM Harness or custom auto-eval tools).

  • Familiarity with retrieval-augmented generation (RAG) tool-using agents or agentic evaluation methodologies.

  • Experience in cloud-based ML development (AWS Azure or GCP).

  • Record of publications or preprints in top-tier venues (e.g. NeurIPS ACL EMNLP ICLR) or equivalent research contributions.

  • Interest in Responsible AI fairness and interpretability research.

#LI-JB2

Whats in it For You

  • Hybrid Work Model: Weve 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 tomorrows 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.

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal tax accounting compliance government and media. Our products combine highly specialized software and insights to empower professionals with the data intelligence and solutions needed to make informed decisions and to help institutions in their pursuit of justice truth and transparency. Reuters part of Thomson Reuters is a world leading provider of trusted journalism and news.

We are powered by the talents of 26000 employees across more than 70 countries where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity accuracy fairness and transparency are under attack we consider it our duty to pursue them. Sound exciting Join us and help shape the industries that move society forward.

As a global business we rely on the unique backgrounds perspectives and experiences of all employees to deliver on our business 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 Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

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Required Experience:

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Applied Scientist I - Thomson Reuters LabsThis position will be based in Zug with hybrid working available.Want to play a crucial role in advancing the science of evaluating LLMs and intelligent agents Join Thomson Reuters Labs where we experiment build and deliver cutting-edge AI systems that empow...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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