AI Simulation Engineer
3 weeks ago
Transformative AI Technology
At MAIHEM, our mission is to harness the power of AI to benefit humanity. We are a pioneering AI startup that has secured a significant seed investment to drive our vision forward.
We are building a cutting-edge simulation platform using AI agents that stress-test other AI applications. This innovative technology enables companies to assess and optimize the performance, reliability, and security of their AI systems through hyper-realistic user simulations. Our goal is to ensure AI systems work reliably for all humans and across all real-world use cases – not just on academic benchmarks.
We are assembling a team of exceptional individuals who share our passion for AI and our commitment to excellence. As a founding member, you will have the opportunity to set the highest standards in terms of work ethics, drive to improve, and teamwork. We also prioritize a positive and inclusive company culture, with a focus on diversity and fairness in AI development.
Our Team
Max Ahrens (CEO) holds a PhD in Natural Language Processing from the University of Oxford and has extensive experience in AI research and development. He has worked with leading institutions, including the Alan Turing Institute and the British Ministry of Defence.
Eduardo Candela (CTO) is a renowned expert in AI Safety for Autonomous Vehicles, with a PhD from Imperial College London and an MSc from MIT. He has a proven track record in building state-of-the-art AI products and has worked with top companies, including Tesla and the Bosch Center for AI.
As MAIHEM's Founding AI Engineer, you will play a critical role in developing our AI simulation and stress-testing platform. You will leverage your expertise in building agentic systems, including:
- 2+ years of experience deploying LLM/ML models to production
- Strong background in Computer Science, Engineering, AI, Math, Physics, or similar
- Proficiency in writing production-level code for AI/LLM-based applications
- Experience with advanced Python workflows, including Pytorch, Langchain/LlamaIndex/OpenAI, Scikit-learn, and pandas
- Experience implementing predictive machine learning models
- Experience with GPU management for LLM deployment
- Experience with pre-training AI models
- Experience with AWS/Azure
- PhD in STEM
We offer a competitive salary, equity, and a comprehensive benefits package, including:
- Private health insurance
- Additional pension contributions
- Free lunch
- Curiosity allowance for professional development
Compensation Range: £100K - £180K
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