At a Glance
- Tasks: Lead a global team in developing cutting-edge AI systems and innovative research.
- Company: Join Thomson Reuters Labs, a leader in AI and machine learning research.
- Benefits: Competitive salary, opportunities for publication, and a dynamic work environment.
- Other info: Collaborative culture with access to top-tier academic resources and experts.
- Why this job: Make a real impact in AI research while mentoring the next generation of scientists.
- Qualifications: PhD in relevant field and 3+ years leading ML/NLP/AI teams.
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 (e.g. PyTorch, JAX, TensorFlow).
- Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives).
- 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, ideally by being involved in the training of large-scale foundation models.
- 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 such as Amazon AWS, MS Azure, or Google Cloud.
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, helping us make the best use of our data resources.
- 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.
Manager of Lead Research Scientist (Training Data, Foundational Research) employer: Thomson Reuters
Thomson Reuters Labs is an exceptional employer, offering a dynamic work environment where innovation thrives and collaboration is key. With a strong focus on employee growth, you will have the opportunity to lead a diverse global team, engage in cutting-edge AI research, and publish your findings while benefiting from access to unparalleled data resources. Our culture fosters creativity and mentorship, making it an ideal place for those passionate about advancing their careers in machine learning and artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Manager of Lead Research Scientist (Training Data, Foundational Research)
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and meetups related to ML and AI. It's a great way to connect with industry leaders and potential employers. Plus, you might just bump into someone from Thomson Reuters Labs!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or deep learning frameworks. This will give you an edge when chatting with recruiters or during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by brushing up on your coding skills and understanding of ML concepts. Use platforms like LeetCode or HackerRank to get in the zone.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Thomson Reuters Labs.
We think you need these skills to ace Manager of Lead Research Scientist (Training Data, Foundational Research)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your PhD, relevant publications, and any leadership roles you've had in ML/NLP projects. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI research and how your background aligns with our goals. Be sure to mention any innovative projects you've led or contributed to.
Showcase Your Communication Skills:Since excellent communication is key for this role, make sure your application materials are clear and well-structured. Whether it's your CV, cover letter, or any additional documents, clarity will help us see your potential as a leader.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you're serious about joining our team at Thomson Reuters Labs!
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 ML/NLP/AI. This will show your depth of knowledge and passion for the subject.
✨Showcase Your Leadership Skills
As a Manager of Lead Research Scientist, you'll need to demonstrate your ability to lead and inspire teams. Prepare examples of how you've successfully managed projects or mentored team members in the past. Highlight your communication skills and how you motivate others to achieve their best.
✨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 technical questions related to deep learning frameworks and model training. Brush up on your knowledge of tools like PyTorch, TensorFlow, and cloud platforms. Being able to discuss your hands-on experience with these technologies will set you apart from other candidates.
