Senior AI Researcher

About RevEng.AI

RevEng.AI is an artificial intelligence and cyber security company building AI for binary analysis. Our mission is is to build AI that fundamentally understands computer software at the binary level.

We do this by combing of static and dynamic program analysis with state of the art AI models. We use ML to assist our customers in binary reverse engineering, vulnerability detection, exploit generation, software supply chain security, and malware detection.

Job Description

We are looking to hire an AI researcher to implement state-of-the-art ML techniques and implement them into our product pipeline. You may contribute to the development of our foundational LLM binary code embeddings or research new methods in using graph-based models for segment classification.

Requirements

• PhD in AI or Computer Science with at least one top-tier publication.
• Strong understanding of Python, Numpy, Scipy, Tensorflow/PyTorch.
• Extensive understanding of state-of-the-art LLMs is essential. Up to date with latest research methods and best practices.
• Prior experience developing ML pipelines and deploying AI models to cloud service providers is preferred.
• You can communicate effectively and work as part of a team.
• You have an independent and strong work ethic, often understanding and solving new problems you are faced with, with little instruction or guidance.

Our values/What we're looking for

We're a team of bright, curious, self-motivated people that are genuinely interested in the problem set we're working on. These are hard problems, requiring novel solutions. There's no roadmap for what we are doing. We expect that the core challenges we face will take years of consistent hard work to solve, and we are excited by this prospect.

Any successful applicant is therefore likely to be able to demonstrate a few key qualities:

• A history of self-directed learning
• Non-linear thinking
• Positive and determined outlook
• Intellectual resilience
• Collaborative attitude towards problem solving

In return we will provide:

• An interesting and engaging place to work
• A competitive salary
• An options pool
• A pension scheme
• Private health insurance
• Flexible working hours - including 2 days per week remote
• 25 days holiday per year plus bank holidays