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.
- Other info: Contribute to open research and engage with the AI community.
- 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.
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, AlphaEvolve 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
We are seeking a Research Engineer. You will be in charge of researching and implementing ideas around making agents collaborate together. You will play a key role in designing the next generation of discovery engines.
You will:
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Investigate how research agents can work together to achieve a predetermined goal, and iterate quickly on these research ideas.
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Design and run experiments to improve the capabilities and efficiency of our system.
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Work together with our team of research engineers and leadership to align technical advances with product and business objectives.
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Stay at the forefront of developments in AI agents, language models, search, optimisation, and automated discovery.
Qualifications
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Having a PhD in Maths/CS/EE or related field, with a good track-record of publications.
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Having contributed to/started open source projects, demonstrating strong software engineering skills with experience building complex systems in Python.
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Excellent communication skills and the ability to collaborate across research and engineering disciplines.
What sets you apart
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Experience with GPU programming / optimisation.
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Experience with agentic systems, planning, or reasoning frameworks.
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Background in algorithms & optimisation.
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Experience building evaluation frameworks and experimentation platforms.
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Strong problem-solving ability and comfort working in ambiguous, fast-moving environments.
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Having experience working in a startup environment.
We offer competitive compensation, generous benefits packages, and offer a stimulating work environment, with the opportunity to contribute to the future of generative AI.
Research Engineer in Cambridge employer: Hiverge
At Hiverge, we pride ourselves on being an exceptional employer, offering a stimulating work environment where innovation thrives. Our team comprises world-class researchers and engineers, providing unparalleled opportunities for professional growth and collaboration on groundbreaking AI technologies. With competitive compensation and generous benefits, we empower our employees to shape the future of generative AI while working alongside some of the brightest minds in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer in Cambridge
✨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 in Cambridge
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.
