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- Tasks: Conduct groundbreaking research in deep learning and generative modelling.
- Company: Join a prestigious Research Lab in London with elite researchers from top institutions.
- Benefits: Highly competitive compensation, cutting-edge infrastructure, and publication opportunities at top-tier conferences.
- Why this job: Be at the forefront of AI innovation and collaborate with world-renowned experts.
- Qualifications: PhD in relevant fields and strong research track record in Big Tech.
- Other info: Inclusive culture valuing diversity; excellent career growth potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Adamas Knight is exclusively partnering with a prestigious Research Lab in London looking for exceptional Research Scientist to join their world-class team.
This lab is composed of researchers from elite institutions and industry labs including OpenAI, Google DeepMind, and Microsoft AI, and is focused on advancing the SOTA in LLMs, reinforcement learning, and deep learning for complex systems. The team is building the models with the goal of powering the next generation of AI supercomputing systems.
The Role
As a Research Scientist, you’ll be at the heart of groundbreaking research, working on core problems in deep learning, generative modelling, and RL.
With larger compute resources per capita than any other tech company, you’ll also have the opportunity to conduct and publish your research in top-tier conferences, such as NeurIPS, ICML, and ICLR, etc. and collaborate with world-renowned researchers across multiple DL disciplines.
You might be a fit if you have…
- PhD in Machine Learning, Computer Science, Mathematics or related field;
- Strong track-record in research in Big Tech;
- Deep technical expertise in training, fine-tuning, or scaling deep learning models;
- Experience developing models in language modelling, reinforcement learning, or related domains;
- A strong publication record in venues such as NeurIPS, ICML, ICLR.
What You’ll Get:
- The opportunity to work alongside leading AI researchers and engineers from the world\’s top institutions;
- SOTA infrastructure and tooling, including cutting-edge GPUs, optimised model training stacks, and robust experiment tracking;
- A highly competitive compensation package.
If this sounds like you, please apply!
At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.
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Research Scientist employer: Adamas Knight
Contact Detail:
Adamas Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and research community. Attend meetups, webinars, or conferences where you can chat with folks from top institutions. You never know who might have a lead on that dream Research Scientist role!
✨Tip Number 2
Show off your work! Create a portfolio showcasing your research projects, publications, and any cool models you've developed. This is your chance to shine and demonstrate your expertise in deep learning and reinforcement learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and research knowledge. Be ready to discuss your past projects and how they relate to the cutting-edge work at Adamas Knight. Practice makes perfect, so consider mock interviews with peers!
✨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 proactive about their job search. So, hit that apply button and let’s get you in the running for that Research Scientist position!
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Show Off Your Research Skills: Make sure to highlight your PhD and any relevant research experience in your application. We want to see your strong track record in deep learning and generative modelling, so don’t hold back on showcasing your achievements!
Tailor Your Application: Take the time to customise your application for this role. Mention specific projects or experiences that align with the lab's focus on LLMs and reinforcement learning. We love seeing how you connect your background to what we do!
Include Your Publication Record: If you've published in top-tier conferences like NeurIPS or ICML, make sure to include that info! It’s a big plus for us and shows you’re serious about contributing to the field.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Adamas Knight
✨Know Your Research Inside Out
Make sure you can discuss your past research projects in detail. Be prepared to explain your methodologies, findings, and how they relate to the cutting-edge work being done at the lab. This shows your passion and expertise in deep learning and generative modelling.
✨Familiarise Yourself with Their Work
Take some time to read up on the lab's recent publications and projects. Understanding their focus areas, especially in LLMs and reinforcement learning, will help you tailor your responses and demonstrate your genuine interest in joining their team.
✨Prepare for Technical Questions
Expect to face technical questions that assess your knowledge of deep learning models and algorithms. Brush up on key concepts and be ready to solve problems on the spot. Practising with peers or using mock interviews can really help you feel more confident.
✨Showcase Your Collaboration Skills
Since this role involves working with top-tier researchers, highlight your experience in collaborative projects. Share examples of how you've successfully worked in teams, tackled challenges, and contributed to achieving common goals in your previous roles.
