Thomson Reuters
Research Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Zug
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THThomson Reuters
Senior Research Engineer(m/w/x)
Zug
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Building large-scale data processing pipelines for machine learning and scalable systems for online delivery environments at content and tech provider for legal, tax, and compliance professionals. 2 years Machine Learning product experience required. 8 weeks work-from-anywhere option.
Requirements
- Degree in Computer Science or equivalent
- 5 years software engineering experience
- 2 years Machine Learning product experience
- Deep understanding of Python ecosystems
- Ability to write clean, maintainable code
- Quick adoption of emerging technologies
- Experience translating research into production
- Interest in real-world applications
- Experience with cloud computing development
- Experience with Agile Methodologies
- Experience implementing CI/CD and DevOps
- Integrating Generative AI into software
- Understanding of ModelOps and MLOps
- Exposure to Natural Language Processing
- Ability to translate research and engineering
- Experience in Java, Rust, or Scala
Tasks
- Apply modern software development practices throughout the entire lifecycle
- Build, test, and deliver high-quality technical solutions
- Create large-scale data processing pipelines for machine learning
- Develop high-performing scalable systems for online delivery environments
- Partner with cross-functional and remote teams in an agile environment
- Contribute innovative ideas and experiment with new technologies
- Communicate technical ideas effectively to diverse stakeholders
- Translate research work into production-ready software solutions
- Implement CI/CD, DevOps, and SDLC concepts in application delivery
- Integrate machine learning and generative AI into production software
- Apply ModelOps and MLOps principles to engineering workflows
- Solve NLP problems including NER, information extraction, and summarization
- Bridge the gap between research methodologies and engineering fields
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Cloud computing
- CI/CD
- DevOps
- Generative AI
- ModelOps
- MLOps
- Natural Language Processing (NLP)
- Java
- Rust
- Scala
- Typescript
Benefits
Flexible Working
- Flexible hybrid working environment
- Flexible work arrangements
Workation & Sabbatical
- Work from anywhere 8 weeks
Learning & Development
- Continuous learning and skill development
- Grow My Way programming
More Vacation Days
- Flexible vacation
Mental Health Support
- Two company-wide Mental Health Days
- Access to Headspace app
- Mental, physical, and financial wellbeing resources
Retirement Plans
- Retirement savings
Additional Allowances
- Tuition reimbursement
Bonuses & Incentives
- Employee incentive programs
Purpose-Driven Work
- Two paid volunteer days off
Social Impact
- Pro-bono consulting projects
Sustainability Focus
- ESG initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Thomson Reuters and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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THThomson Reuters
Senior Research Engineer(m/w/x)
Zug
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Building large-scale data processing pipelines for machine learning and scalable systems for online delivery environments at content and tech provider for legal, tax, and compliance professionals. 2 years Machine Learning product experience required. 8 weeks work-from-anywhere option.
Requirements
- Degree in Computer Science or equivalent
- 5 years software engineering experience
- 2 years Machine Learning product experience
- Deep understanding of Python ecosystems
- Ability to write clean, maintainable code
- Quick adoption of emerging technologies
- Experience translating research into production
- Interest in real-world applications
- Experience with cloud computing development
- Experience with Agile Methodologies
- Experience implementing CI/CD and DevOps
- Integrating Generative AI into software
- Understanding of ModelOps and MLOps
- Exposure to Natural Language Processing
- Ability to translate research and engineering
- Experience in Java, Rust, or Scala
Tasks
- Apply modern software development practices throughout the entire lifecycle
- Build, test, and deliver high-quality technical solutions
- Create large-scale data processing pipelines for machine learning
- Develop high-performing scalable systems for online delivery environments
- Partner with cross-functional and remote teams in an agile environment
- Contribute innovative ideas and experiment with new technologies
- Communicate technical ideas effectively to diverse stakeholders
- Translate research work into production-ready software solutions
- Implement CI/CD, DevOps, and SDLC concepts in application delivery
- Integrate machine learning and generative AI into production software
- Apply ModelOps and MLOps principles to engineering workflows
- Solve NLP problems including NER, information extraction, and summarization
- Bridge the gap between research methodologies and engineering fields
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Cloud computing
- CI/CD
- DevOps
- Generative AI
- ModelOps
- MLOps
- Natural Language Processing (NLP)
- Java
- Rust
- Scala
- Typescript
Benefits
Flexible Working
- Flexible hybrid working environment
- Flexible work arrangements
Workation & Sabbatical
- Work from anywhere 8 weeks
Learning & Development
- Continuous learning and skill development
- Grow My Way programming
More Vacation Days
- Flexible vacation
Mental Health Support
- Two company-wide Mental Health Days
- Access to Headspace app
- Mental, physical, and financial wellbeing resources
Retirement Plans
- Retirement savings
Additional Allowances
- Tuition reimbursement
Bonuses & Incentives
- Employee incentive programs
Purpose-Driven Work
- Two paid volunteer days off
Social Impact
- Pro-bono consulting projects
Sustainability Focus
- ESG initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Thomson Reuters and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Thomson Reuters
Industry
Legal
Description
The company provides trusted content and technology for professionals in legal, tax, accounting, compliance, government, and media.
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