At adMarketplace, we create best of breed advertising technology using cutting-edge microservice architectures with millisecond response time and crunch through terabytes of data every day. The ideal candidate is motivated designing for massive scale, developing for low latency and has strong interest in engineering/productionalizing machine learning algorithms and Python-based applications integrated into mission-critical systems to make automated algorithmic real-time decisions. Our team uses cutting edge software, including Akka, Java 8, Scala, Python, Kafka, Spark, NoSQL and more.

RESPONSIBILITIES:

• Work closely with the Data Science team to take machine learning based solutions from proof-of-concept/prototype to production (following the right engineering techniques) related to our real-time advertiser and publisher pricing systems developed in Python
• Own and maintain the engineering part of productionalized machine learning related applications
• Own, maintain and improve other (non-machine learning) Python-based applications and systems
• Take and drive engineering projects from start to completion

 

REQUIREMENTS:

BS in Engineering, Computer Science or related discipline

Must have 5+ years strong industry-related development experience using Python (not Python UI related work)

Understanding of basic machine learning algorithms such as Logistic Regression and/or a strong interest in the topic

Ability to design complete systems by collaborating with multiple teams and understanding testing, hardware and deployment methodologies

Strong knowledge of algorithmic complexity/simplicity tradeoffs, effective use of data structures and SQL

Experience working in a Linux environment

Ability to initiate and drive projects to completion with minimal guidance

Excellent documentation, communication, and troubleshooting skills

Java/Scala development experience is preferred, but not required

Is a plus:

• Digital advertising industry experience
• Experience with AWS, RabbitMQ, MySQL, Vertica, and Aerospike
• Experience with scikit-learn or other machine learning libraries
• Hands on experience productionalizing machine learning products developed in Python
• Experience working in an agile software development team using Jira
• Experience with Continuous Integration and Delivery