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F-Secure's Advanced Threat Protection unit is responsible for detecting, tracking and neutralizing cyber-attacks by monitoring systems for anomalies and suspicious behavior. This work is focused on responding to threats targeting enterprise environments. We're searching for new talent to grow our ranks. >> More about Advanced Threat Protection with F-Secure.
We are looking for passionate Researchers in the field of Machine Learning and Data Analysis who can design and implement machine learning systems able to process large volumes of data and find anomalies and patterns that might indicate malicious activity. Successful candidates will have a solid background in mathematics and statistics, together with good software development capabilities. You will be required to keep up with, and adjust your methodology in response to the ever-evolving threat landscape. This position will require a combination of theoretical expertise and hands-on skills. You should not only be familiar with established data analysis tools and methodologies, but be capable of creating your own where needed.
What's in it for me?
As part of the ATP team, you'll be pioneering something new for F-Secure, in a field that is experiencing rapid growth. Our goal is to become a market leader in the European cyber-security space. You'll be working alongside experts in a dynamic and international environment. As a new project inside F-Secure, you'll get to define the way you work and shape the future of this exciting new endeavor. We offer flexibility in the workplace and a vibrant company culture. This position offers a diverse range of paths towards success and career growth.
How to stand out as an applicant?
We're looking for enthusiastic, creative and technically exceptional individuals with a passion for cyber-defense. The following experience is an absolute must:
-An MSc in a relevant field (mathematics, CS, data analysis) plus either a PhD in a relevant field or several years of proven experience of designing machine learning systems in an industrial environment
-Software development experience, particularly with Python/Scikit-learn
-Experience with Big-Data processing and distributed computational framework (for instance, Spark or Hadoop)
-Experience in optimizing algorithms and their implementations for parallel processing, in particular, in the Machine Learning domain
Further information and how to apply
Still wondering about something? Feel free to ask more by contacting us at [email protected].
We're processing applications right now, so don't hesitate to apply immediately. In your application, be sure to cover your past skills and qualifications as well as your future aspirations and goals. We look forward to hearing from you!