We are seeking a talented Applied Scientist with excellent technical skills and a desire to make significant impact through data and research. A successful candidate will be self-directed, generate novel ideas, plan, experiment, implement and ship to production efficient Machine Learning and AI solutions.
Responsibilities:
Develop ML models to detect and disrupt cyber-attacks.
Stay informed about the latest advancements in Machine Learning, including Large Language Models, Graph Neural Networks and Anomaly Detection, and apply these to complex cybersecurity challenges.
Collaborate with security experts to integrate their knowledge into ML models.
Work with truly Big Data sources to distil data for training of ML models.
Integrate your ML models with production systems, follow the results and iterate.
Requirements:
Qualifications:
M.Sc./PhD in Computer Science (or equivalent).
Have 2+ years of Machine Learning experience (or PhD graduate).
Highly hands-on in Software Development.
Capable of driving challenging projects from an idea to production.
Ability to learn new technologies quickly and independently.
Great people skills, teamwork, and collaboration.
Qualifications:
M.Sc./PhD in Computer Science (or equivalent).
Have 2+ years of Machine Learning experience (or PhD graduate).
Highly hands-on in Software Development.
Capable of driving challenging projects from an idea to production.
Ability to learn new technologies quickly and independently.
Great people skills, teamwork, and collaboration.
Preferred Qualifications:
Cyber security background and keen interest (big plus).
Publications of AI-related research.
Industry/Research experience with LLM fine-tunning, Anomaly Detection, graphical methods.
Software development in C#/Java/C++.
This position is open to all candidates.
