Note: The job is a remote job and is open to candidates in USA. Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. The role involves building scalable machine learning solutions and acting as a technical leader for complex ML initiatives, mentoring other engineers, and ensuring integration with technology infrastructure.
Responsibilities
- 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
Skills
- 10+ years of professional industry experience as a Machine Learning Engineer or Software Engineer, focused on deploying machine learning systems at scale
- 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
Benefits
- Flexible time off
- Benefits package (including medical, dental, vision)
- Lifestyle Spending Account
- Employee Stock Purchase Program
- 401k match
- Denver office perks include paid parking, snacks, and occasional meals
Company Overview