Machine Learning Researcher

Darktrace has more than 2,500 employees located globally. Founded by mathematicians and cyber defence experts in 2013, Darktrace is a global leader in cyber security AI, delivering complete AI-powered solutions in its mission to free the world of cyber disruption.

For over a decade, Darktrace has pioneered a proactive, AI-native approach to security. Our roots lie deep in innovation. The Darktrace AI Research Centre based in Cambridge, UK, has conducted research establishing new thresholds in cybersecurity, with technology innovations backed by over 200 patents and pending applications.

Today, Darktrace is a global leader in cybersecurity AI, delivering the essential cybersecurity platform to protect organisations today and for an ever-changing future.

Key Duties & Responsibilities: 

We are currently hiring for a Machine Learning Researcher to join our R&D team in Cambridge. As a Machine Learning Researcher, you will contribute to a diverse array of projects utilizing various tools and technologies, playing a pivotal role in enhancing the company's capabilities to detect, prevent, and respond to cyber threats. Day to day you'll be contributing to projects ranging from rapid prototyping of new ideas to open-ended research initiatives. You will collaborate with software engineers to test and deploy research outcomes in production environments. Additional responsibilities include:

• Supporting the development of methodologies to defend against unknown cyber-attacks,
• Driving innovation through creative approaches and traditional project-based development,
• Engaging in machine learning research and collaborating in software development and DevOps engineering.

Candidate Requirements: 

We welcome applications from individuals with the ability to prototype and solve problems who hold an active interest in cybersecurity (as well as a basic understanding of cybersecurity concepts and common threats such as malware and phishing scams). Technically you'll ideally have the following:

• Master’s degree or PhD in a machine learning or related technical field, or equivalent experience,
• Proficiency in Python,
• Knowledge of common machine learning algorithms and techniques,
• Familiarity with transformers or other large language models.
• Basic understanding of AWS and/or Terraform,
• Experience with Python machine learning libraries such as PyTorch, TensorFlow, Transformers, and scikit-learn,
• Familiarity with Linux and Git. 

Benefits we offer:

• 23 days’ holiday + all public holidays, rising to 25 days after 2 years of service,
• Additional day off for your birthday,
• Private medical insurance which covers you, your cohabiting partner and children,
• Life insurance of 4 times your base salary,
• Salary sacrifice pension scheme,
• Enhanced family leave,
• Confidential Employee Assistance Program,
• Cycle to work scheme.

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