Jobspring Partners
This marketing mogul is disrupting the digital advertising landscape, using cutting-edge technology that brings together real-time survey data, insights on over 230 million consumers and online behavioral data all into one platform.
They have pioneered a completely new way to identify, understand, and engage highly-targeted audiences by uncovering 13,000 individual attributes that identify their underlying values, beliefs, and motivations.
We get to the heart of ‘why’ consumers do what they do and the products, companies and causes they support.
Key Responsibilities Design and implement ML feature pipelines Serve as active member of small, dedicated machine learning team Optimize pipelines and processes for model development, experimentation and scaled production scoring Implement machine learning algorithms and libraries in service to modeling and production scoring pipelines Analyze large and complex data sets to derive valuable insights, inform feature and product development Apply machine learning and data science techniques and design distributed systems Be in charge of the entire lifecycle (research, design, experimentation, development.
deployment, monitoring, and maintenance) Drive the evolution of Resonate’s ML/AI infrastructure through research, experimentation and implementation of best practices Qualifications & Experience Requirements Strong technical skills with an emphasis in Java 2 years of experience with machine learning and/or deep learning methods Ability to handle multiple projects simultaneously, meet deadlines, and effectively manage priorities and communicate progress Experience working in a cloud based and Agile environment Experience with big data processing (Spark/Hadoop) Fluent in Linux based systems and code versioning tooling (Git/CI/CD) B.S., M.S.
or Ph.D.
in Computer Science or equivalent degree and work experience