Staff Machine Learning Engineer

Ibotta•Denver, CO

23h•$206,000 - $230,000•Hybrid

About The Position

Ibotta is seeking a Staff Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. We’re looking for someone who has a passion for building scalable machine learning solutions using technologies and tools such as Python, Spark, Databricks, AWS, Sagemaker, etc. As a Staff Machine Learning Engineer, you will act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, data systems, and large-scale ML platforms. This role will immediately impact ML strategy and drive impact through the support, guidance, and collaboration with multiple teams as part of our analytics organization . We’re looking for a technical leader to further mature our current infrastructure and abstractions and identify new opportunities to add value through ML applications. This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. Not based in one of these areas? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.

Requirements

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.

Responsibilities

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.
Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere