The AI Job Search Engine
Senior Research Engineer(m/w/x)
Description
In this role, you will bridge the gap between AI research and production by building scalable ML pipelines and high-performance systems that transform how global professionals work.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
5 years
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
Tools & Technologies
Languages
English – Business Fluent
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
- Thomson ReutersFull-timeWith HomeofficeExperiencedZug
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Senior Research Engineer(m/w/x)
The AI Job Search Engine
Description
In this role, you will bridge the gap between AI research and production by building scalable ML pipelines and high-performance systems that transform how global professionals work.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
5 years
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
Tools & Technologies
Languages
English – Business Fluent
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
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.
- Thomson Reuters
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Research Engineering Intern(m/w/x)
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Lead Applied Scientist I(m/w/x)
Full-timeWith HomeofficeSeniorZug - Thomson Reuters
Sr Director, Applied Research(m/w/x)
Full-timeWith HomeofficeSeniorZug - Thomson Reuters
Senior Applied Scientist, Knowledge Graphs and ML(m/w/x)
Full-timeWith HomeofficeSeniorZug