About the Role

Ibotta is seeking a Staff Machine Learning Engineer to join its Core Data & Analytics team. The role involves leading design, development, and deployment of production-grade ML systems at scale, while mentoring engineers and collaborating with cross-functional teams. The position is remote and open to candidates in the USA.

Responsibilities

Lead the design, development, and deployment of production-grade ML systems across the organization.
Collaborate with architecture and Machine Learning Platform teams to integrate ML services and pipelines into the larger infrastructure.
Act as a liaison between technical teams and non-technical stakeholders to communicate complex concepts clearly.
Mentor ML Engineers and Data Scientists, fostering a culture of technical ownership and experimentation.

Requirements

6+ years of professional industry experience as a Machine Learning Engineer or Software Engineer focused on deploying ML systems at scale.
Advanced knowledge of ML frameworks such as scikit-learn, TensorFlow, SageMaker, and Spark ML.
Expertise with distributed big-data tools and event-based architectures, ideally Spark and Kafka.
Hands-on experience prototyping, building, releasing, and monitoring mission-critical ML models in high-traffic applications.
Experience with cloud-based infrastructure, ideally AWS.

Deel

San Francisco · US · 5291+ employees

Deel is a global HR and payroll platform that simplifies managing an international workforce. It provides end-to-end solutions for payroll, compliance, HR, benefits, and immigration for both full-time employees and independent contractors.

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About the Role

Responsibilities

Requirements

Deel

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