• United States Of America, Usa
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  • 0 - 3 Years
  • Posted : above 1 month

Job Description:

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Were looking for a Data Scientist to join the BlackBerry Cylance Data Science team At Cylance, we develop state-of-the-art machine learning techniques to solve long-standing problems in computer security We discover novel ML techniques and applications, build systems to handle petabytes of ludicrously high dimensional data, and protect people from bad guys

With machine learning at the heart of all of Cylances products, the Data Science team is a critical, highly visible, and high-impact team within the company The team brings together experts from machine learning, stats, computer science, computer security, and various applied sciences, with backgrounds including deep learning, Bayesian statistics, time-series modeling, topology, scalable data processing, and software engineering

You dont need prior experience in security, although it helps The right candidate will be able to gain domain expertise on the job, surrounded by some of the computer security industrys leading minds


Invent novel machine learning techniques to solve important problems in computer security
Improve upon existing machine learning techniques used within Cylance
Write code that scales to very large datasets, often with millions of dimensions
Discover ways to strengthen machine learning models against adversarial attacks
Collaborate closely with internal product and engineering teams to help turn ML research prototypes into new products or features
Publish papers and present research at conferences, including ML/AI/Stats conferences, as well as security conferences like Black Hat, DEFCON, and RSA
Stay abreast of the latest publications and state-of-the-art techniques in relevant research communities (eg, ML and stats)
Consult with other teams within Cylance on applications of data science
Collaborate with other data scientists on the team to help accomplish all of the above


Extensive knowledge of machine learning fundamentals You dont just blindly call fit() in sklearn; you have a deep understanding of how many common ML algorithms work and are able to explain why they work the way they do
Strong math skills in general, especially linear algebra and statistics
Intermediate experience with python, at least to the point that youre able to implement common machine learning algorithms without much trouble
A Masters degree or PhD in a relevant area can be substituted for equivalent years of experience


Python, and libraries like sklearn, numpy, scipy, pytorch, and tensorflow
Various other languages, including Scala, C/C , C#, Java, and x86 assembly
Various AWS services, like EC2 and S3


Excellent communication skills You can clearly convey your ideas to others in speech and in writing
Kindness, and a deep willingness to help and collaborate with others
Five years minimum related experience with machine learning, computer science, and/or statistics
Experience within Cyber Security


Current resume
Cover letter/summary expressing

Why you are interested in working at Blackberry Cylance
The skills, strengths and expertise you will contribute to our diverse team of extraordinary talent and humble hearts

Job Family Group Name

Product Development

Scheduled Weekly Hours


Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : IT-Hardware/Networking, Telecom
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 06th Jun 2020

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