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Senior Machine Learning Infrastructure Engineer at NextRoll (San Francisco, CA)

Senior Machine Learning Infrastructure Engineer

About the Role:

The Data Science Engineering (DSE) team is responsible for the economics of NextRoll’s core products. Our in-house machine learning frameworks run over hundreds of terabytes of data daily, ensuring our pricing engine stays fresh and accurate as it bids on billions of ad opportunities, dynamically making product recommendations, and selecting the best opportunities for our advertisers. ML Infrastructure members have a passion for technology and mathematics, and are responsible for setting up the systems architectures that feed and execute our machine learning algorithms at scale.

NextRoll engineers are afforded significant autonomy. ML Infrastructure engineers design their systems as they see fit, own their code, enable analysts to dive deep with ease, and ensure our hungry machine learning algorithms are fed. Beyond data pipelining, NextRoll DSE is also responsible for a variety of high-availability, high-QPS prediction servers that must return results on the order of milliseconds. ML Infrastructure engineers work on a variety of projects with data from disparate sources, but all at large scale.

Responsibilities:

  • Design batch and real-time pipelines that generate predictive models for a variety of signals and tasks
  • Design high-availability prediction servers with fast response times
  • Create operational support tools for monitoring, managing and debugging production data flows
  • Integrate with external data sources to feed into existing datasets
  • Engineer data formats that help answer data analysis questions efficiently

Qualifications:

  • BS in Computer Science, Computer Engineering, or related technical disciplines
  • 3+ years experience with C, C++, Java, or other performant language
  • Experience with manipulating large datasets
  • Solid experience in building scalable, high performance systems
  • Experience in distributed computing frameworks and paradigms
  • Proven ability to take high-level product requirements and distill them into technical solutions
  • Enthusiasm to work in a vibrant, collaborative, and fast-paced engineering team

Bonus Points:

  • Working knowledge of machine learning and statistics
  • Understanding of online ad industry