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:
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.
- Contribute to projects ranging from rapid prototyping of new ideas to open-ended research initiatives,
- Collaborate with software engineers to test and deploy research outcomes in production environments,
- Support the development of methodologies to defend against unknown cyber-attacks,
- Drive innovation through creative approaches and traditional project-based development,
- Engage in machine learning research and collaborate in software development and DevOps engineering.
Candidate Requirements:
- Master’s degree or PhD in a machine learning or related field, or equivalent experience,
- Proficiency in Python,
- Knowledge of common machine learning algorithms and techniques,
- Ability to prototype and solve problems,
- 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,
- Interest in cybersecurity,
- Familiarity with Linux and Git,
- Basic understanding of cybersecurity concepts and common threats such as malware and phishing scams would be desirable.
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.
#LI-Hybrid
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