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- Tasks: Join a world-class team tackling deep learning and generative modelling challenges.
- Company: Adamas Knight partners with a prestigious London Research Lab focused on AI advancements.
- Benefits: Enjoy competitive pay, cutting-edge resources, and opportunities to publish in top conferences.
- Why this job: Be part of groundbreaking research that shapes the future of AI supercomputing.
- Qualifications: PhD in relevant fields and strong research experience in Big Tech required.
- Other info: Diversity is celebrated; all backgrounds are encouraged to apply.
The predicted salary is between 36000 - 60000 £ per year.
Adamas Knight is exclusively partnering with a prestigious Research Lab in London looking for exceptional Research Scientists 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.
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.
- 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;
- SOTA infrastructure and tooling, including cutting-edge GPUs, optimised model training stacks, and robust experiment tracking;
- A highly competitive compensation package.
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.
Laboratory Research Scientist employer: Adamas Knight
Contact Detail:
Adamas Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Laboratory Research Scientist
✨Tip Number 1
Network with professionals in the AI and machine learning fields. Attend conferences, workshops, or meetups where you can connect with researchers from top institutions. This can help you gain insights into the latest trends and potentially get referrals.
✨Tip Number 2
Showcase your research work on platforms like GitHub or ResearchGate. Having a strong online presence with your projects and publications can demonstrate your expertise and commitment to the field, making you a more attractive candidate.
✨Tip Number 3
Stay updated on the latest advancements in deep learning and reinforcement learning. Follow relevant journals, blogs, and social media accounts to ensure you’re knowledgeable about current research, which can be a great conversation starter during interviews.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to machine learning. Familiarise yourself with common algorithms and frameworks used in the industry, as this will help you demonstrate your technical skills effectively.
We think you need these skills to ace Laboratory Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD in Machine Learning, Computer Science, or Mathematics. Emphasise your research experience in Big Tech and any specific projects related to deep learning, generative modelling, or reinforcement learning.
Craft a Compelling Cover Letter: In your cover letter, express your passion for advancing AI technologies and mention specific contributions you can make to the lab's goals. Reference your experience with SOTA infrastructure and tools, and how it aligns with their research focus.
Showcase Your Research Publications: If you have published papers in top-tier conferences like NeurIPS, ICML, or ICLR, be sure to include these in your application. Highlight any significant findings or innovations that demonstrate your expertise in the field.
Highlight Collaboration Skills: Given the collaborative nature of the lab, mention any previous experiences working in teams, especially in high-stakes environments. Discuss how you’ve contributed to group projects and your ability to communicate complex ideas effectively.
How to prepare for a job interview at Adamas Knight
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight your contributions, methodologies used, and any publications or presentations at conferences like NeurIPS or ICML. This will demonstrate your expertise and passion for the field.
✨Understand the Latest Trends
Familiarise yourself with the latest advancements in deep learning, reinforcement learning, and generative modelling. Being able to discuss current trends and how they relate to the lab's work will show that you are engaged and knowledgeable about the industry.
✨Demonstrate Technical Proficiency
Prepare to discuss your technical skills in training and fine-tuning deep learning models. Be ready to explain your experience with SOTA infrastructure and tools, as well as any specific programming languages or frameworks you are proficient in.
✨Ask Insightful Questions
Prepare thoughtful questions about the lab's research focus, team dynamics, and future projects. This not only shows your interest in the position but also helps you assess if the lab is the right fit for you.
