That's where you come in – as the first Data Engineer , you'll will be:.

• Build machine learning system to detect high-risk activities like money laundering, terrorist financing, human trafficking, account takeovers, and credit card fraud. This will consist of feature engineering / storage, deep learning training pipelines, offline evaluation systems, and online serving infrastructure.


• Push the boundary of natural language processing (NLP) technologies and combine artificial and human intelligence to extract illicit activity on the DarkWeb, Social Media Platforms, and other forums.


• Working cross-functionally with engineering and data science teams to define and expand labels for model training, productionize real-time machine learning models, and conduct independent research projects to drive our innovation forward


• Developing your skills through exceptional training as well as frequent coaching and mentoring from colleagues

• Advanced graduate degree in quantitative field


• 3+ years industry experience developing production machine learning systems at scale from inception to business impact. Proven ability to tailor your solutions to business problems in a cross-functional team.


• Basic understanding of modern machine learning techniques and their mathematical underpinning, such as classification, clustering, optimization, deep neural network and natural language processing.


• Engineering skills. This is a hybrid research/engineering role. You'll be responsible for productionizing your pipelines/models and integrating against our back-end services.
  
  
  
  • Experience in one or more of the following languages: Python (preferred), Scala (preferred), Java, C++, or other equivalent languages.
  
  
  • Experience with large scale data processing is a plus (Hive, Spark preferred)
  
  
  
  


• Adaptable. Goals can change fast. You anticipate and react quickly.


• Autonomous. You own what you work on. You move fast and get things done.


• Excellent communication. You will need communicate complex ideas effectively to both technical and non-technical audiences, and both verbally and in writing


• Collaborative. You must work collaboratively in a cross-functional team and with people at all levels in an organization


• Relevant experience in crypto/blockchain is a plus