Enigma
Research Engineer | CUDA | GPU | PhD | Python | Remote, UK
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Research Engineer | CUDA | GPU | PhD | Python | Remote, UK
Research Engineer | CUDA | GPU | PhD | Python | Remote, UK
About Us
We are an AI research company focused on developing advanced systems for automated algorithm discovery and optimisation. Our mission is to build next-generation AI capable of solving complex optimisation problems through autonomous research and algorithm design.
Our team consists of experienced researchers and engineers with backgrounds in leading AI research organisations and top universities. We foster a collaborative, research-driven environment where advances in artificial intelligence, algorithms, and mathematics are translated into impactful technologies.
If you're passionate about AI research and excited to work on cutting-edge systems, we'd love to hear from you.
About the Role
We are seeking a Research Engineer to research and implement methods for enabling AI agents to collaborate effectively. You will contribute to the design and development of next-generation AI discovery systems, working at the intersection of machine learning, algorithms, and software engineering.
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Responsibilities
- Research and develop approaches for collaborative AI agents working towards predefined objectives
- Rapidly prototype, evaluate, and iterate on new research ideas
- Design and conduct experiments to improve the capabilities, efficiency, and robustness of AI systems
- Collaborate with researchers, engineers, and technical leadership to align research outcomes with product and organisational goals
- Stay up to date with advances in AI agents, large language models, search, optimisation, and automated discovery
Qualifications
- PhD in Computer Science, Mathematics, Electrical Engineering, or a related field, with a strong publication record
- Demonstrated software engineering skills, including experience contributing to open-source projects and building complex systems in Python
- Excellent communication and collaboration skills, with the ability to work across research and engineering teams
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Preferred Qualifications
- Experience with GPU programming and performance optimisation
- Experience developing agent-based systems, planning, or reasoning frameworks
- Strong background in algorithms and optimisation
- Experience building evaluation frameworks and experimentation platforms
- Excellent analytical and problem-solving skills, with the ability to thrive in fast-paced, ambiguous environments
- Experience working in a startup or similarly dynamic environment
What We Offer
- Competitive compensation
- Comprehensive benefits package
- A collaborative and intellectually stimulating research environment
- The opportunity to contribute to the development of state-of-the-art AI technologies
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