Research, design, and deploy the next generation of Ibotta's ML architectures, workflows, and standards that seamlessly integrate with key product features across the organization.
Work with Ibotta architecture and Machine Learning Platform teams to ensure integration of machine learning services and pipelines in larger technology infrastructure.
Be the leading contributor, voice, and thought leader in a growing community of machine learning practitioners.
Identify, research, prototype and evaluate cutting edge big data and machine learning technologies.
Act as a liaison between technical teams and non-technical stakeholders to communicate complex concepts clearly.
Lead the design, development, and deployment of production-grade ML systems across the organization.
Communicate complex machine learning solutions, concepts and the results of analyses in a clear and effective manner to business stakeholders and technology leaders to maximize the effectiveness of machine learning initiatives.
Mentor ML Engineers and Data Scientists, fostering a culture of technical ownership, rigorous experimentation, and best practices.

10+ years of professional industry experience as a Machine Learning Engineer or Software Engineer
Advanced knowledge of multiple ML frameworks like: Sklearn, TensorFlow, Sagemaker, Spark ML
Expertise working with distributed big-data tools and event-based architectures, ideally Spark and Kafka
Deep hands-on experience prototyping, building, releasing, and monitoring mission-critical machine learning models in high traffic applications
Extensive experience working within a cloud-based infrastructure, ideally AWS
Experience driving org-wide ML strategy or setting technical standards across teams
Track record of mentoring senior engineers or leading cross-functional initiatives
Comfort operating with ambiguity and influencing without direct authority.

Principal Machine Learning Engineer

Key skills