The Role: 

CompStak is a venture-backed tech startup that is revolutionizing the commercial real estate industry. We’ve built an innovative platform that enables professionals to trade data they have in exchange for the data they need about deals happening in any given market in the U.S. 

The ideal candidate will be skilled in implementing machine learning projects driving complex crowdsourced data ingestion pipeline. In collaboration with other engineers, the candidate will empower the team of analysts and data scientists to deliver data driven analytics for products providing unprecedented insights to the commercial real estate industry.

Your Mission:

• Build scalable machine learning services and platforms
• Implement and support streaming technologies such as Kafka and Spark
• Deliver near-real time and non-near-real-time ML model predictions
• Collaborate in the development of deployment automation strategies
• Research new technologies to support the rapid business growth

Technical Requirements:

• 5+ years of programming experience
• Experience with Python, Java or Scala programming languages.
• Experience in implementing machine learning pipelines
• Working knowledge of machine learning frameworks such as Spark ML, scikit-learn, TensorFlow and Keras
• Working knowledge of big data ecosystems such as Kafka, Cassandra, etc.
• Working knowledge of relational and NoSQL datastores
• Experience in functional programming is a big plus!
• Excellent written and verbal communication skills