Resonate
Resonate is a leading provider of high-quality, AI-powered consumer data, intelligence, and technology, empowering marketers to create a more personalized world that increases customer acquisition and lifetime value. Our SaaS platform, Ignite, and our Data-as-a-Service (DaaS) offerings provide unparalleled insights into consumer motivations, values, and behaviors, enabling our clients to connect with their target audiences in more meaningful and effective ways.
We are seeking a passionate and innovative Machine Learning Software Engineer to support our Engineering team.
Job Duties:
Design and develop robust data ingestion and processing pipelines using Apache Spark, Scala, Python, and AWS cloud services. Oversee the production, quality assurance, and maintenance of data systems, ensuring efficient data flow and reliability. Collaborate with product management and data teams to implement Machine Learning feature pipelines for model training and scoring, leveraging Amazon SageMaker and TensorFlow where applicable. Analyze large datasets to derive insights that enhance feature development and optimize machine learning models. Requirements:
Master’s degree in Business Analytics, Information Systems, Computer Science, or a closely related technical field plus 1 year experience in software engineering or Bachelor’s degree in Business Analytics, Information Systems, Computer Science, or a closely related technical field plus 5 years’ experience in software engineering. Experience must include 1 year in each of the following: Amazon EMR for ETL pipelines; Scala/Spark for large scale data transformation (ETL); Linux based systems, Docker, and code versioning tooling (Git, CI/CD); Python; Pandas; Numpy; PyTest; and machine learning frameworks and the data and computation management mechanisms that surround them in a cloud environment (AWS). At Resonate, we care about more than your experience on paper. We look for teammates who bring the right mindset and ways of working to help us do great work, together. The Resonators who thrive here embody these qualities: Ownership: You take initiative, follow through, and hold yourself accountable. Collaboration: You value working with others and building strong, respectful relationships. Adaptability: You stay steady through change and adjust when needed. Growth Mindset: You’re open to learning, feedback, and trying new things. Customer Focus: You keep the end user in mind and aim for impact. Clear Communication: You express ideas simply and listen to understand. Integrity & Empathy: You act with honesty and consider the people around you. Strategic Thinking: You focus on what matters most and work with purpose. Drive: You show up motivated and ready to move things forward. Readiness: You bring the skills to contribute meaningfully from day one. Resonate is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
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Design and develop robust data ingestion and processing pipelines using Apache Spark, Scala, Python, and AWS cloud services. Oversee the production, quality assurance, and maintenance of data systems, ensuring efficient data flow and reliability. Collaborate with product management and data teams to implement Machine Learning feature pipelines for model training and scoring, leveraging Amazon SageMaker and TensorFlow where applicable. Analyze large datasets to derive insights that enhance feature development and optimize machine learning models. Requirements:
Master’s degree in Business Analytics, Information Systems, Computer Science, or a closely related technical field plus 1 year experience in software engineering or Bachelor’s degree in Business Analytics, Information Systems, Computer Science, or a closely related technical field plus 5 years’ experience in software engineering. Experience must include 1 year in each of the following: Amazon EMR for ETL pipelines; Scala/Spark for large scale data transformation (ETL); Linux based systems, Docker, and code versioning tooling (Git, CI/CD); Python; Pandas; Numpy; PyTest; and machine learning frameworks and the data and computation management mechanisms that surround them in a cloud environment (AWS). At Resonate, we care about more than your experience on paper. We look for teammates who bring the right mindset and ways of working to help us do great work, together. The Resonators who thrive here embody these qualities: Ownership: You take initiative, follow through, and hold yourself accountable. Collaboration: You value working with others and building strong, respectful relationships. Adaptability: You stay steady through change and adjust when needed. Growth Mindset: You’re open to learning, feedback, and trying new things. Customer Focus: You keep the end user in mind and aim for impact. Clear Communication: You express ideas simply and listen to understand. Integrity & Empathy: You act with honesty and consider the people around you. Strategic Thinking: You focus on what matters most and work with purpose. Drive: You show up motivated and ready to move things forward. Readiness: You bring the skills to contribute meaningfully from day one. Resonate is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
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