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For Companies At a Glance
- Tasks: Design and evaluate cutting-edge AI systems while collaborating with top researchers.
- Company: Join Hiverge, a pioneering AI company with a world-class team.
- Benefits: Competitive pay, generous benefits, and a stimulating work environment.
- Why this job: Shape the future of generative AI and work on transformative technologies.
- Qualifications: Masters in Computer Science or related field, strong Python skills, and 3+ years in research engineering.
- Other info: Contribute to open research and engage with the AI community.
The predicted salary is between 43200 - 72000 £ per year.
Who we are
At Hiverge, our mission is to build algorithmic superintelligence: an AI discovery engine that automatically writes algorithms for the most critical optimisation problems.
Our founding team is composed of world-class researchers from Google DeepMind and University of Cambridge, having co-developed AlphaTensor, FunSearch, and Nobel-prize winning AlphaFold. At Hiverge, you will be working with the brightest minds in AI, algorithms, and mathematics.
If you’re passionate about AI and eager to shape transformative technologies, we’d love to hear from you.
About this role
This role designs, trains, and evaluates LLM‑centric systems. The work blends implementation, experimentation, and benchmarking.
As a Research Engineer you will:
- Build scalable experimentation foundations with strong reproducibility and observability.
- Create robust prompt and code-selection tooling.
- Make our system faster and more efficient through optimized inference and infrastructure.
- Work with the team (ML engineers and researchers) to implement new ideas.
- Engage with the research community to advance the state of algorithmic discovery.
Qualifications
- Masters degree in Computer Science, Engineering, related field, or equivalent experience.
- Strong coding skills in Python and experience with PyTorch/JAX and modern LLM tooling for inference and fine‑tuning.
- 3+ years in applied research engineering or equivalent, with shipped research systems or strong open‑source repositories in LLMs, search/RL, or compilers/verification.
- Exposure to evaluation frameworks, unit/property‑based testing, and performance profiling.
What sets the candidate apart
- Contributions to open research or community tooling.
- Familiarity with algorithm design, and practical understanding of reinforcement learning, evolutionary methods and optimization methods.
We offer competitive compensation, generous benefits packages, and offer a stimulating work environment, with the opportunity to contribute to the future of generative AI.
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Research Engineer employer: Hiverge
Contact Detail:
Hiverge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and research community, especially those connected to Hiverge. Attend meetups, webinars, or conferences where you can chat with industry experts and make a lasting impression.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs or algorithm design. This is your chance to demonstrate your coding prowess and innovative ideas, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch/JAX skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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 joining our mission at Hiverge.
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in applied research engineering and showcases your coding skills in Python. We want to see how your background aligns with the role, so don’t be shy about mentioning any relevant projects or contributions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and algorithmic discovery, and explain why you’re excited about working with us at Hiverge. Let us know how your skills can contribute to our mission.
Showcase Your Projects: If you've got any open-source repositories or research systems you've shipped, make sure to include them in your application. We love seeing practical examples of your work, especially if they relate to LLMs or optimisation methods!
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 serious about joining our team!
How to prepare for a job interview at Hiverge
✨Know Your Algorithms
Brush up on your knowledge of algorithm design and optimisation methods. Be ready to discuss how you've applied these concepts in your previous work, especially in relation to LLMs or reinforcement learning.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding prowess in Python, particularly with PyTorch or JAX. You might be asked to solve a problem on the spot, so practice coding challenges that involve building or optimising algorithms.
✨Familiarise Yourself with Evaluation Frameworks
Understand the evaluation frameworks and testing methodologies relevant to research engineering. Be prepared to discuss how you’ve used unit/property-based testing in your past projects to ensure robust performance.
✨Engage with the Research Community
Highlight any contributions you've made to open research or community tooling. Discussing your involvement in the research community can show your passion for advancing algorithmic discovery and your commitment to collaboration.
