At a Glance
- Tasks: Design, train, and evaluate cutting-edge AI systems while collaborating with top researchers.
- Company: Join Hiverge, a pioneering AI company with a mission to revolutionise algorithmic discovery.
- Benefits: Competitive pay, stimulating work environment, and potential for full-time role after internship.
- Other info: Engage with the research community and contribute to impactful projects.
- Why this job: Shape the future of generative AI and work alongside world-class experts in the field.
- Qualifications: Masters in Computer Science or related field, strong Python skills, and experience with LLMs.
The predicted salary is between 20000 - 30000 £ 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 Intern you will:
- Support the development of scalable experimentation foundations with strong reproducibility and observability
- Help create and improve robust prompt and code-selection tooling.
- Assist in optimizing our system’s inference and infrastructure for better efficiency.
- 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. Experience in applied research engineering, demonstrated by impactful academic projects or internships 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 and a stimulating work environment, with the opportunity to contribute to the future of generative AI. Outstanding interns may be considered for a full-time Research Engineer position upon completion of the internship.
Research Engineer Intern in Cambridge employer: Hiverge
At Hiverge, we pride ourselves on being an exceptional employer, offering a dynamic and collaborative work culture that fosters innovation and creativity. Our team comprises leading experts in AI and algorithms, providing interns with unparalleled mentorship and opportunities for professional growth. Located at the forefront of technological advancement, we offer competitive compensation and the chance to contribute to groundbreaking projects that shape the future of generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer Intern in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the AI and research community, especially those connected to Hiverge. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open research, make sure to highlight them in conversations. It’s all about demonstrating your passion and expertise.
✨Tip Number 3
Prepare for technical discussions. Brush up on your coding skills in Python and be ready to discuss your experience with LLMs and frameworks like PyTorch or JAX. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Research Engineer Intern in Cambridge
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! Share any personal projects or experiences that highlight your interest in algorithmic discovery and how you see yourself contributing to transformative technologies.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Research Engineer Intern role. Highlight relevant skills like Python coding, experience with PyTorch/JAX, and any academic projects that align with the job description. We want to see how you fit into our mission!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your experiences and skills. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Hiverge!
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 projects or internships, especially in relation to LLMs or reinforcement learning.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities in Python, particularly with PyTorch or JAX. You might be asked to solve a problem on the spot, so practice coding challenges that involve implementing algorithms or optimising code.
✨Familiarise Yourself with Evaluation Frameworks
Understand the evaluation frameworks and testing methodologies relevant to the role. Be prepared to discuss how you’ve used unit/property-based testing in your past work and how it can improve reproducibility in research.
✨Engage with the Research Community
Show your passion for AI by discussing any contributions you've made to open research or community tooling. This could set you apart from other candidates, so highlight any relevant experiences or projects during your interview.
