At a Glance
- Tasks: Join a team to build and experiment with advanced AI systems.
- Company: Thomson Reuters, a leader in foundational Machine Learning research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on advanced algorithms and real-world applications.
- Why this job: Make a real impact in AI research and development with cutting-edge technology.
- Qualifications: Experience in machine learning and a passion for innovative research.
The predicted salary is between 36000 - 60000 £ per year.
Join a cutting-edge research team working to deliver on the transformation promises of modern AI. We are seeking Machine Learning Research Engineers with the skills and drive to build and conduct experiments with advanced AI systems in an academic environment rich with high-quality data from 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 expanding our strong foundation of research capabilities across different areas and are looking for engineers who participate in designing, coding, conducting experiments, and translating findings into concrete deliverables.
Our Focus Areas Are:
- LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)
- Post-training techniques for planning, reasoning
Machine Learning Research Engineer (Foundational Research) employer: Thomson Reuters
As an Editor at The Insurer, you will thrive in a dynamic and supportive work environment located in the heart of London, where innovation meets collaboration. Our hybrid work model promotes flexibility, allowing you to balance personal and professional commitments while benefiting from comprehensive career development programmes tailored to help you excel in your role. With a strong emphasis on social impact and employee wellbeing, we offer competitive benefits that include mental health days, volunteer opportunities, and resources for your overall wellness, making us an exceptional employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Research Engineer (Foundational Research)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, whether it's through LinkedIn or local meetups. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and advanced algorithms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of machine learning concepts. Practice common interview questions and consider mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in foundational research. Your dream job could be just a click away!
We think you need these skills to ace Machine Learning Research Engineer (Foundational Research)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the job description. We want to see how your background fits into our cutting-edge research team, so don’t hold back on showcasing your machine learning projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about foundational research and how your expertise in advanced algorithms can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any relevant projects, especially those involving LLMs or advanced ML techniques, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world problems with innovative solutions.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Thomson Reuters
✨Know Your Algorithms
Brush up on the latest algorithms and techniques in machine learning, especially those related to Large Language Models. Be ready to discuss your experience with foundational research and how you've applied these concepts in real-world scenarios.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your coding skills and experimental design. Practise coding challenges and be prepared to explain your thought process clearly. This will show your problem-solving abilities and how you approach complex tasks.
✨Showcase Your Research Experience
Be ready to talk about your previous research projects, particularly those involving advanced AI systems. Highlight any experiments you've conducted, the outcomes, and how they contributed to your understanding of machine learning principles.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and future directions in foundational research. This demonstrates your genuine interest in the role and helps you assess if the company aligns with your career goals.
