At a Glance
- Tasks: Lead a global team in developing cutting-edge AI systems and algorithms.
- Company: Join Thomson Reuters Labs, a leader in AI research and development.
- Benefits: Competitive salary, opportunities for publication, and a dynamic work environment.
- Other info: Collaborate with top experts and access rich data sources for innovative research.
- Why this job: Make a real impact in AI research while mentoring the next generation of scientists.
- Qualifications: PhD in a relevant field and 3+ years of experience in ML/NLP/AI.
The predicted salary is between 80000 - 100000 £ per year.
Requirements
- PhD in a relevant discipline.
- 3+ years of hands-on experience leading teams building advanced ML / NLP / AI systems in academia or industry.
- Strong publication record in top-tier conferences with specific focus on training data curation, synthetic data generation, etc.
- Familiarity with one or more deep learning frameworks.
- Experience in ML Research beyond completing a PhD.
- 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.
- Good social skills and ability to motivate, inspire and mentor team members.
- Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity.
- (Desirable) High-impact publications in top-tier conferences or other influence in the research community.
- (Desirable) 5+ years of hands-on experience leading teams building advanced ML / NLP / AI systems in academia or industry.
- (Desirable) Extensive experience with deep learning and large-scale model training.
- (Desirable) Extensive experience working with LLM training-data.
- (Desirable) Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery.
- (Desirable) Experience training large-scale models over distributed nodes with cloud tools.
What the job involves
- Thomson Reuters Labs is seeking Research Scientists with a passion for building complex AI systems in a data-rich, complex academic environment driven by real-world problems.
- Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters.
- We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs).
- We are building a strong foundation of research capabilities across different areas and are looking for managers who can inspire and guide their teams.
- Our focus areas include LLM Training, Data-centric Machine Learning, Post-training techniques for planning, reasoning & complex workflows, and Evaluation.
- We work collaboratively with TR Labs, academic partners at world-leading research institutions and subject matter experts.
- As a Research Scientist Manager, you will play a key part in leading a diverse global team of experts.
- You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development.
- Lead: You will be involved in strategic planning, hiring and management in foundational research.
- Innovate: You will work at the cutting edge of AI Research.
- Experiment and Develop: You are involved in the entire research & model development lifecycle.
- Collaborate: Working on a collaborative global team of research engineers.
- Communicate: Actively engage in sharing our technical findings with the wider community.
Lead Research Scientist: Foundational AI & LLM Training employer: Thomson Reuters
Thomson Reuters Labs is an exceptional employer for those passionate about AI research, offering a dynamic work culture that fosters innovation and collaboration. With access to unparalleled data resources and a commitment to employee growth through mentorship and leadership opportunities, you will be at the forefront of developing cutting-edge AI systems while contributing to impactful research in a supportive environment. Join us in a role that not only challenges your expertise but also allows you to publish your findings and shape the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Research Scientist: Foundational AI & LLM Training
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and meetups related to AI and ML. It's a great way to connect with industry leaders and fellow researchers who might just know about job openings before they're even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any cool experiments you've conducted. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Don’t be shy about reaching out! If you see a position that excites you, drop a message to the hiring manager or team lead. Express your interest and ask any questions you might have. It shows initiative and can set you apart from other candidates.
✨Tip Number 4
Apply through our website! We love seeing applications directly from passionate candidates. Make sure to tailor your application to highlight your experience in leading teams and working with advanced ML systems, as that's what we're all about!
We think you need these skills to ace Lead Research Scientist: Foundational AI & LLM Training
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in ML, NLP, and AI systems. We want to see your hands-on experience and any leadership roles you've had, so don’t hold back on showcasing those achievements!
Show Off Your Publications:If you've got a strong publication record, flaunt it! Mention your top-tier conference papers and any relevant research contributions. This is your chance to shine, so let us know how you've impacted the research community.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about AI and how you can contribute to our team. Be sure to mention your innovative ideas and how you’ve led teams in fast-paced environments. We love a good story!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Thomson Reuters
✨Know Your Research Inside Out
Make sure you can discuss your past research and publications in detail. Be prepared to explain the methodologies you used, the challenges you faced, and how your work contributes to the field of AI and LLM training. This will show your depth of knowledge and passion for the subject.
✨Showcase Your Leadership Skills
As a Lead Research Scientist, you'll need to inspire and guide your team. Prepare examples of how you've successfully led projects or mentored others in the past. Highlight your ability to motivate and manage teams, especially in fast-paced environments.
✨Familiarise Yourself with Their Focus Areas
Research Thomson Reuters Labs and their specific focus areas like LLM training and data-centric ML. Be ready to discuss how your experience aligns with their goals and how you can contribute to their ongoing projects. This shows that you're genuinely interested in the role and the company.
✨Prepare for Technical Questions
Expect to be asked about your experience with deep learning frameworks and large-scale model training. Brush up on relevant technical concepts and be ready to discuss your hands-on experience with tools like PyTorch or TensorFlow. Demonstrating your technical expertise will be crucial.
