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- Tasks: Join a world-class team to tackle deep learning and generative modelling challenges.
- Company: Adamas Knight partners with elite researchers from top tech firms like OpenAI and Google DeepMind.
- Benefits: Enjoy competitive pay, cutting-edge resources, and opportunities to publish in top conferences.
- Why this job: Be part of groundbreaking AI research that shapes the future of supercomputing systems.
- Qualifications: PhD in relevant fields and strong research background in Big Tech required.
- Other info: Diversity is celebrated here; 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 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.
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 Scientist (Chemistry) employer: Adamas Knight
Contact Detail:
Adamas Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Laboratory Scientist (Chemistry)
✨Tip Number 1
Network with professionals in the AI and deep 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 stand out to potential employers.
✨Tip Number 3
Engage with the community by contributing to open-source projects related to deep learning or reinforcement learning. This not only enhances your skills but also helps you build a reputation within the community, which can be beneficial when applying for positions.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges specific to machine learning and deep learning. Familiarise yourself with common algorithms and frameworks used in the industry to ensure you're ready to impress during the interview process.
We think you need these skills to ace Laboratory Scientist (Chemistry)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD in Machine Learning, Computer Science, Mathematics, or a related field. 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 your familiarity with SOTA infrastructure and tooling. Discuss how your background aligns with the lab's focus on deep learning and complex systems.
Showcase Your Research Achievements: Include a section in your application that details your research contributions, especially any publications in top-tier conferences like NeurIPS, ICML, or ICLR. Highlight any experience you have with training, fine-tuning, or scaling deep learning models.
Proofread and Edit: Before submitting your application, carefully proofread all documents for clarity and grammatical accuracy. Ensure that your passion for research and your qualifications shine through without any distractions from typos or errors.
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 any publications, especially in top-tier conferences like NeurIPS or ICML, and explain your specific contributions to those projects.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of deep learning models, reinforcement learning, and generative modelling. Be ready to answer technical questions and possibly solve problems on the spot to showcase your expertise.
✨Familiarise Yourself with Their Work
Research the lab's recent projects and publications. Understanding their focus areas will allow you to tailor your responses and show genuine interest in their work during the interview.
✨Prepare Questions for Them
Have insightful questions ready about the lab's research direction, team dynamics, and opportunities for collaboration. This shows your enthusiasm and helps you assess if the lab is the right fit for you.
