Algorithm Developer

Tel Aviv

R&D

We are looking for driven and talented employees to work as experienced Algorithm engineers / Data Science on our research team. You will join a leading group fighting off cybercriminals from our customers' traffic and help clean up the internet from bad bots. It’s an opportunity to be a pioneer - design and build the company’s ML/AI models and capabilities and impact Billions of requests. Join us and help protect the internet from malicious bots and web attacks and take part in one of the most exciting, challenging, and promising cybersecurity startups today.

What will you do:

  • Develop and implement advanced Machine Learning and optimize algorithms for our web security products. Also, the role includes using innovative technologies that combine work with practical projects and research projects - from the stage of data analysis to prototyping of new ideas, their implementation in a production environment, and then monitoring and maintaining them.
  • Lead large-scale technical implementation of machine learning algorithms - Work on projects in the fields of supervised and semi-supervised learning, anomaly detection, time series forecasting, and more.
  • Make an impact - grow the business by developing new algorithms and features.
  • Assess the effectiveness and accuracy of big data sources and data gathering techniques.

What you'll need:

  • B.Sc./M.Sc. in Statistics, Computer Science, Mathematics or a related field.
  • 3+ years with practical hands-on experience in developing and researching algorithms in the fields of data science/machine learning techniques and statistical methods, such as: boosting and bagging algorithms, time series models, clustering and anomaly detection methods, and more.
  • Proven experience in taking data model projects from the stage of data analysis to prototyping new ideas, their implementation in a production environment, and monitoring and maintenance.
  • Programming skills in various languages, having proficiency with Python and SQL. 
  • Knowledge in how to construct and test models to reach conclusions and insights.
  • Experience working with and creating data architectures.
  • Knowledge in how to perform ETL processes and draw insights from large\big data sets.
  • Independent and innovative with the ability to lead problem definition and goal definition processes
  • Fluent in English (speaking and writing).

Nice to have

  • Experience with big data technologies such as Google BigQuery, Spark, etc.
  • Background in the cyber-security or fraud worlds.
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