Data Scientist

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 8,400 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 Cambridge, UK, has conducted research establishing new thresholds in cyber security, with technology innovations backed by over 130 patents and pending applications. The company’s European R&D center is located in The Hague, Netherlands.

Headquartered in Cambridge, UK, Darktrace has more than 2,400 employees located globally. Customers include public sector agencies, education institutions, media, organizations supplying critical infrastructure, and businesses of all sizes worldwide.

This is an excellent opportunity to join a fast-growing company, named one of TIME magazine’s “Most Influential Companies” for 2021 and one of Fast Company’s “Most Innovative AI Companies” in 2022. For more information on our cutting-edge technology, visit darktrace.com.

You will join the dedicated R&D teams in Cambridge that create and improve the products behind the company’s rapid growth. Our software engineers work on a wide variety of projects and with a diverse toolset.

The AI Analysis team focuses on a range of products and software which aim to automate the human analysis process, including the Cyber AI Analyst, as well as a number of other products and the data and infrastructure to support them. Members of the team typically work in one or more areas including Python development, security research and analysis, machine learning research, and cloud architecture.

This is a hybrid role, and the expectation would be to work a minimum of 2 days a week in the Cambridge office.

Key Duties and Responsibilities:

• Contributing to projects ranging from the rapid prototyping of new ideas to more open-ended research projects.
• Working with software engineers to test and deploy the results of this research in production.
• Working towards the aim of furthering our unique methodology in defending against unknown cyber-attacks.
• Innovation is of paramount importance and as such, creativity in approach is encouraged as much as traditional project-based development.
• The role requires core competencies in machine learning, but also includes opportunities to collaborate in software development and devops engineering.

Essential:

• Experience working with Python and Pytorch.
• Experience with transformer-based neural network architectures.
• Strong analytical and organisational skills.
• Be a team player but with the ability to operate autonomously and take independent decisions.

Desirable:

• Experience with recent large language models (e.g. GPT4, LLAMA2, Falcon).
• Knowledge of classical NLP approaches (e.g. TF-IDF,  POS-tagging, Word2Vec).
• Experience with graph neural networks (e.g. MPNNs, GCNs, GATs).
• Experience with cloud architecture (e.g. AWS, GCP).
• Experience with infrastructure provisioning tools (e.g. Terraform, Ansible).
• Knowledge of cybersecurity or networking.

Benefits:

• 23 days holiday + all public holidays. Increasing to 25 days after 2 years of service.
• Additional day off for your birthday.
• Private medical insurance.
• Life insurance.
• Pension – 4% employer contribution.
• Enhanced family leave.
• Confidential employee Support.
• Cycle to work scheme.

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