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Machine Learning Researcher

Darktrace
Cambridge
1 month ago
Applications closed

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Founded by mathematicians and cyber defense 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. We protect more than 9,000 customers from the world’s most complex threats, including ransomware, cloud, and SaaS attacks.

Our roots lie deep in innovation. The Darktrace AI Research Centre based in our Cambridge, UK headquarters, has conducted research establishing new thresholds in cyber security, with technology innovations backed by over 130 patents and pending applications.

For more information on our cutting-edge technology, visit darktrace.com.

Job Decription

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. You will also:

  • 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

  • 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.

Seniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionOther
  • IndustriesComputer and Network Security

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