Research Engineer
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- Work arrangement
- hybrid
- Employment
- FullTime
- Stated compensation
- Not specified
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Requirements
1 with evidence8 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Employment type
- FullTime
9 fields not stated in this posting
- Employer sponsorship
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- Geographic scope
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- Security clearance
- Not mentioned
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Original job description
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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:
Investigate how research agents can work together to achieve a predetermined goal, and iterate quickly on these research ideas.
Design and run experiments to improve the capabilities and efficiency of our system.
Work together with our team of research engineers and leadership to align technical advances with product and business objectives.
Stay at the forefront of developments in AI agents, language models, search, optimisation, and automated discovery.
Qualifications
Having a PhD in Maths/CS/EE or related field, with a good track-record of publications.
Having contributed to/started open source projects, demonstrating strong software engineering skills with experience building complex systems in Python.
Excellent communication skills and the ability to collaborate across research and engineering disciplines.
What sets you apart
Experience with GPU programming / optimisation.
Experience with agentic systems, planning, or reasoning frameworks.
Background in algorithms & optimisation.
Experience building evaluation frameworks and experimentation platforms.
Strong problem-solving ability and comfort working in ambiguous, fast-moving environments.
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.
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