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- Tasks: Innovate and develop cutting-edge ML solutions while collaborating with top experts.
- Company: Join Thomson Reuters Labs, a leader in foundational machine learning research.
- Benefits: Enjoy a hybrid work model, comprehensive benefits, and access to LinkedIn Learning.
- Why this job: Be part of a purpose-driven team tackling real-world challenges in a dynamic environment.
- Qualifications: PhD student or recent grad with research experience and strong communication skills.
- Other info: Contribute to impactful projects and enjoy a culture of diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
Senior Research Scientist (Foundational Research, Machine Learning)
Apply remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago job requisition id JREQ184676
Are you a curious and open-minded individual with an interest in state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking a Senior Research Scientist with a passion for solving challenging machine learning problems in a data-rich, complex academic environment.
About the Role
In this opportunity, as Senior Research Scientist you will:
- Innovate : You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available.
- Experiment and Develop : You can be involved in the entire research & model development lifecycle, brainstorming, building, testing, and delivering high-quality reports at leading international academic conferences.
- Collaborate : Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities.
About You
You’re a fit for the role if your background includes:
Required Qualifications:
- PhD student or recent graduate with research experience in a technical discipline.
- First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR, or similar.
- Excellent communication skills to report and present research findings and developments clearly, both orally and in writing.
- Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems.
- Self-driven attitude and ability to work with limited supervision.
- Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity.
Preferred Qualifications:
- Experience working on relevant state-of-the-art research topics in large language models (LLMs) such as alignment, hallucination detection and reduction, model compression, data-centric techniques, efficient fine-tuning, long context length, synthetic data, combination of LLMs with knowledge graphs etc.
- Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
- Previous experience working on large-scale machine learning systems.
- Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries.
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.
- Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance.
- Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
- Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company.
- Social Impact: Employee-driven Business Resource Groups; two paid volunteer days annually; ESG initiatives for local and global impact.
- Purpose Driven Work: We help our customers pursue justice, truth and transparency.
Do you want to be part of a team helping re-invent the way knowledge professionals work? Join us and help shape the industries that move society forward.
Accessibility
Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
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Senior Research Scientist (Foundational Research, Machine Learning) employer: Refinitiv
Contact Detail:
Refinitiv Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Scientist (Foundational Research, Machine Learning)
✨Tip Number 1
Make sure to showcase your research experience in machine learning, especially if you have first-author publications in top-tier conferences like NeurIPS or ICML. Highlighting these achievements can set you apart from other candidates.
✨Tip Number 2
Demonstrate your curiosity and innovative mindset by discussing any novel algorithmic solutions you've developed. Be prepared to share specific examples during interviews that illustrate your problem-solving skills.
✨Tip Number 3
Familiarize yourself with the latest trends in large language models and related topics. Being able to discuss advancements in areas like alignment or hallucination detection will show your depth of knowledge and passion for the field.
✨Tip Number 4
If you have experience with cloud tools like AWS or Azure, make sure to mention it. This experience is highly relevant and can demonstrate your ability to work with large-scale machine learning systems.
We think you need these skills to ace Senior Research Scientist (Foundational Research, Machine Learning)
Some tips for your application 🫡
Highlight Your Research Experience: Make sure to emphasize your research experience, especially any first-author publications in relevant venues like NeurIPS or ICML. This will demonstrate your expertise and fit for the role.
Showcase Communication Skills: Since excellent communication skills are crucial for this position, include examples of how you've effectively reported and presented research findings, both orally and in writing.
Demonstrate Innovation and Curiosity: In your application, convey your innovative mindset and curiosity. Discuss specific instances where you devised novel algorithmic solutions or tackled complex problems in machine learning.
Tailor Your Application: Customize your CV and cover letter to reflect the specific qualifications and experiences mentioned in the job description. Highlight your familiarity with large language models and cloud tools if applicable.
How to prepare for a job interview at Refinitiv
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those that led to first-author publications. Highlight the methodologies you used and the impact of your findings on the field.
✨Demonstrate Your Problem-Solving Skills
Think of specific examples where you devised innovative solutions to complex problems. Be ready to explain your thought process and how you approached challenges in your research.
✨Communicate Clearly and Effectively
Since excellent communication skills are crucial for this role, practice presenting your research findings succinctly. Focus on clarity and ensure you can convey complex ideas in an understandable way.
✨Familiarize Yourself with Relevant Technologies
Brush up on your knowledge of large language models and cloud tools like AWS or Google Cloud. Being able to discuss your experience with these technologies will demonstrate your readiness for the role.
