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- Tasks: Conduct research on LLM alignment and develop innovative algorithms for optimisation problems.
- Company: Join the vibrant community at Singapore Management University, known for its supportive culture.
- Benefits: Enjoy competitive pay, generous professional development, and a great work-life balance.
- Why this job: Make a real impact in AI research while collaborating with a dynamic team.
- Qualifications: Master's degree in a relevant field and experience in LLM prompting or fine-tuning.
- Other info: Be part of an agile research team with excellent career growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university. Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
Responsibilities
- The candidate will be responsible for conducting research on LLM alignment in solving optimization problems.
- Developing LLM alignment algorithm for solving optimization problems.
- Implementing LLM baseline methods and traditional optimization methods.
- Collecting real-world dataset and testing the above algorithms for benchmarking.
- Writing paper for publication.
- Other duties as assigned.
Qualifications
- Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on Artificial Intelligence.
- Minimum 1 year of relevant research experience in prompting or fine-tuning LLM.
- Proficiency in programming software/languages such as Python is required.
- Proven track record and professional experience in LLM related project.
- Demonstrated experience and know-how on prompting or fine-tuning LLMs.
- Excellent working knowledge of LLM alignment and optimization.
- Technical skills in using LLM APIs.
- Ability to break down complex problems and design effective solutions.
- Innovating new approaches and thinking outside the box.
- Applicants with research publications in AI area will be advantageous.
- Ability to work cooperatively as part of a small, agile academic research team is essential.
- Self-motivated individual who can work independently and collaboratively with team members.
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University.
Research Engineer (1-year contract), School of Computing and Information Systems 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 Research Engineer (1-year contract), School of Computing and Information Systems in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Singapore Management University on LinkedIn. A friendly chat can give us insider info and might just get our foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into LLM alignment and optimisation problems. We should be ready to discuss our past projects and how they relate to the role. Confidence is key!
✨Tip Number 3
Showcase our passion for research! During interviews, let’s share our ideas on innovative approaches in AI. This will help us stand out as someone who thinks outside the box.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed directly by the hiring team at SMU. Let’s make it easy for them to find us!
We think you need these skills to ace Research Engineer (1-year contract), School of Computing and Information Systems in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in LLM alignment and optimization. We want to see how your skills match the job description, so don’t be shy about showcasing your programming prowess in Python and any research publications you have!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for our research team. Keep it friendly yet professional, just like the vibe at SMU.
Showcase Your Research Experience: Since this role involves conducting research, make sure to detail your previous projects related to LLMs. We love seeing how you've tackled complex problems and what innovative solutions you've come up with!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our community at SMU!
How to prepare for a job interview at HYPERSCAL SOLUTIONS PTE. LTD.
✨Know Your Research
Make sure you’re well-versed in the latest developments in LLM alignment and optimisation. Brush up on your previous projects and be ready to discuss how they relate to the role. This shows your genuine interest and expertise.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python and any other relevant programming languages. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Prepare for Team Dynamics
Since the role involves working in a small, agile team, think about examples from your past experiences where you collaborated effectively. Highlight your ability to innovate and contribute to a positive team atmosphere.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the research team’s current projects or future directions. This not only shows your enthusiasm but also helps you gauge if the environment is the right fit for you.
