Principal Machine Learning Engineer

What you will be doing:

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.

What we are looking for:

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.

Additional Details:

This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals.

Base compensation range: $228,000 - $253,000 Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.

Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.

Applicants must be currently authorized to work in the United States on a full-time basis.

Applicants are accepted until the position is filled.

For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.

Skills Required
10+ years professional experience as a Machine Learning Engineer or Software Engineer deploying ML systems at scale
Advanced knowledge of ML frameworks (scikit-learn, TensorFlow, SageMaker, Spark ML)
Expertise with distributed big-data tools and event-based architectures
Experience with Spark and Kafka
Deep hands-on experience building, releasing, and monitoring mission-critical ML models in high-traffic applications
Extensive experience with cloud-based infrastructure
Experience with AWS
Experience driving org-wide ML strategy or setting technical standards
Track record mentoring senior engineers or leading cross-functional initiatives
Strong communication skills; ability to explain complex ML concepts to technical and non-technical stakeholders