Staff Machine Learning Engineer

What You Will Be Doing

• Lead the design, development, and deployment of production-grade ML systems 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.
• Act as a liaison between technical teams and non-technical stakeholders to communicate complex concepts clearly.
• 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.

What We Are Looking For

• 6+ 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.
• Experience working within a cloud-based infrastructure, ideally AWS.
• Track record of mentoring junior engineers or leading cross-functional initiatives.