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- Tasks: Conduct research on LLM alignment and develop innovative algorithms.
- Company: Reputable academic institution focused on cutting-edge technology.
- Benefits: Opportunity to publish research and collaborate with experts in the field.
- Why this job: Make a real impact in the world of LLM technologies and optimisation.
- Qualifications: Master's degree in Computer Science and research experience in LLM.
- Other info: Join a small, dynamic team fostering innovation and problem-solving.
The predicted salary is between 28800 - 48000 £ per year.
A reputable academic institution is seeking a candidate for research on LLM alignment to solve optimization problems. The role requires a Master's degree in Computer Science and at least one year of research experience in LLM technologies.
Responsibilities include:
- Developing algorithms
- Implementing methods
- Publishing research papers
The successful candidate will work independently as well as in collaboration with a small academic team, fostering innovation and problem-solving skills.
LLM Alignment Research Engineer in London employer: HYPERSCAL SOLUTIONS PTE. LTD.
Contact Detail:
HYPERSCAL SOLUTIONS PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Alignment Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the LLM field on platforms like LinkedIn. A friendly message can open doors and lead to potential job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects and algorithms you've developed. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by solving optimisation problems and discussing your thought process. We recommend mock interviews with peers to boost your confidence.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace LLM Alignment Research Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Master’s degree in Computer Science and any relevant research experience you have in LLM technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about LLM alignment and how your background makes you a great fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Research Skills: Since publishing research papers is part of the gig, include any relevant publications or projects in your application. We’re keen to see how you’ve contributed to the field and your ability to develop algorithms and implement methods.
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at HYPERSCAL SOLUTIONS PTE. LTD.
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) and their alignment. Be prepared to discuss recent advancements in the field, as well as any optimisation problems you've tackled in your previous research. This shows your passion and expertise!
✨Showcase Your Research Experience
Since the role requires at least a year of research experience, be ready to highlight specific projects you've worked on. Discuss the algorithms you developed, methods you implemented, and any papers you published. Concrete examples will help demonstrate your capabilities.
✨Collaboration is Key
This position involves working with a small academic team, so be prepared to talk about your teamwork skills. Share experiences where you successfully collaborated with others, how you handled differing opinions, and how you contributed to fostering innovation within a group.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the institution's research focus, the team dynamics, and future projects. This not only shows your interest but also helps you gauge if the environment is the right fit for you.
