Job Specification – Senior ML Research Scientist
Location: UK Remote or UK Hybrid (London) Type: Full-time, permanent
Reports To: Lead ML Research Scientist
About RevEng
At RevEng.AI, we're redefining the future of binary program analysis with cutting-edge AI. As a fast-growing cybersecurity startup, our mission is to build AI that deeply understands computer software at the binary level, transforming the way security professionals and engineers tackle complex challenges.
By combining static and dynamic program analysis with state-of-the-art machine learning, we develop powerful AI-driven solutions that help our customers:
- Reverse engineer binaries with greater speed and accuracy.
- Identify vulnerabilities before they can be exploited.
- Automate exploit generation for red teaming and security research.
- Enhance software supply chain security through advanced analysis.
- Detect and analyse malware at an unprecedented scale.
At RevEng.AI, you'll be part of a team pushing the boundaries of AI, cybersecurity, and reverse engineering—building game-changing technology that secures the digital world.
What We Offer
At RevEng.AI, we believe in rewarding our team with competitive benefits, meaningful work, and a great culture. Here’s what you can expect when you join us:
- Comprehensive benefits including top-tier private healthcare.
- Equity in a high-growth AI cybersecurity startup, backed by leading tech investors.
- The opportunity to work on groundbreaking AI-driven cybersecurity projects tackling real-world security threats.
- A collaborative and inclusive culture that fosters creativity and innovation.
- Professional growth through training, conferences, and career development.
- Flexible and hybrid working as standard—work in a way that suits you.
- Weekly team lunches to catch up, share ideas, and unwind.
- A vibrant office space in the heart of London, with regular social events.
- An extra day off on your birthday!
Role Overview
We’re looking for an experienced and innovative Senior Machine Learning Research Scientist to join our team. This role is ideal for someone with a strong background in developing and training large-scale ML models from the ground up. You’ll play a key role in advancing our foundational ML models for binary analysis, pushing the boundaries of AI-driven program analysis.
Key Responsibilities
- Collaborate with the ML team to drive the next evolution of our custom AI decompiler model.
- Design and implement custom deep learning architectures to enhance model performance.
- Experiment with data preprocessing and feature extraction strategies to optimise results.
- Develop and implement robust evaluation frameworks to benchmark model performance.
- Contribute to the development of binary and function embedding models.
Required Qualifications
- MSc or PhD in Computer Science, Mathematics, Physics, or a related field.
- Proven experience developing and training custom ML models beyond fine-tuning existing architectures.
- Strong programming skills in Python, with deep expertise in PyTorch.
- Solid understanding of modern deep learning architectures (e.g., transformers, GNNs).
- Proficiency with cloud computing platforms, Git, and Docker.
Preferred Qualifications
- Experience with large-scale distributed training.
- Publications in top-tier ML conferences or journals.
- Contributions to open-source ML projects.
- Hands-on experience deploying models into production.
- Previous experience in a startup environment.
This is an exciting opportunity to work at the forefront of AI for binary program analysis, tackling real-world challenges in software security. If you’re passionate about building cutting-edge ML models and working in a dynamic, fast-paced environment, we’d love to hear from you!
