Software Engineer (Full Stack, Machine Learning)

Cambridge

Darktrace

Darktrace AI interrupts in-progress cyber-attacks in seconds, including ransomware, email phishing, and threats to cloud environments and critical infrastructure.

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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.

What will I be doing:

 

Our software engineers work across a wide variety of projects and with a diverse toolset, as a Full Stack Software Engineer for the Innovation team you will be responsible for rapidly prototyping and iterating on new projects in a fast-moving environment. You will be collaborating within a cross-functional team to make key decisions about the projects we are working on. Creativity in approach is essential to drive innovative ideas and solutions to problems.

This is a hybrid role, with a compulsory attendance of 2 days a week in the Cambridge office.

You will own the prototyping and development of new and innovative ideas to further improve Darktrace’s services and offerings while balancing creativity, logical thinking and time constraints to implement blue-sky ideas. You'll find yourself collaborating with a cross-functional team of engineers, designers, project co-ordinators and technical strategists to create cutting-edge projects and optimising solutions to improve both speed and scale. This role involves working with a wide range of infrastructures, languages and technologies such as Linux, Windows, AWS, Python, Rust, Node, PyTorch and you will be driven to learn more as required.

In this machine learning focused role you will also be curating datasets and working with ML concepts and associated libraries, such as Pytorch.

 

What experience do I need:

We welcome applications from engineers with strong problem-solving and creative thinking skills as well as excellent communication and the ability to work in a collaborative team environment. You will be an independent thinker with a startup mindset. Technology-wise, you will be strong in at least one of Python, Rust, C++ with Linux operating system experience and experience fine tuning models (e.g. RNN, LSTM, BERT, LLM, CNN) and deploying them to production. You will also ideally have:

  • Strong knowledge of more than one programming language,
  • Experience developing software for Windows or MacOS,
  • Experience working with Cloud Infrastructure such as AWS, Azure or GCP.

 

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure BERT GCP Linux LLMs LSTM Machine Learning Prototyping Python PyTorch Research RNN Rust Security

Perks/benefits: Career development Health care Medical leave Startup environment

Region: Europe
Country: United Kingdom

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