Associate Machine Learning Engineer

Ibotta•Denver, CO

1d•Hybrid

About The Position

Ibotta is seeking an Associate Machine Learning Engineer to join our innovative 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 such as Python, Spark, AWS, Airflow, Sagemaker, PyTorch, etc. Every member of the team has input into our roadmap and will have an outsized impact as part of a small, agile team. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.

Requirements

1-2+ years of professional experience as a MLOps Engineer, Data Scientist, or equivalent role, on machine learning, statistical modeling, and/or ML infrastructure
Bachelor’s Degree in Computer Science, Mathematics, Analytics, or related field required
Ability to think critically and leverage domain expertise to build machine learning powered libraries/infrastructure that help to achieve high-level business objectives
Proficiency in Python and SQL
Experience working with version control systems (e.g. git) and CI/CD for machine learning pipelines

Nice To Haves

Experience working with machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and distributed big-data tools (e.g. Spark) is a plus
Experience with Airflow, Docker, and Terraform is a plus

Responsibilities

Design, develop and deploy large scale, big data-driven machine learning models that are integrated with key product features.
Recommendation systems that leverage robust, granular customer data sets and various modeling approaches to ensure the most relevant content is shown to each user
Business and Saver facing applications using Large Language Model for data generation and for generative AI experiences
Using experiments to build uplift models that determine optimal configurations for Marketing bonuses at the individual user level
Building/scaling ML related infrastructure to help streamline the development, evaluation, deployment, and re-usability of core ML features and services
Collaborate with Machine Learning Engineering and Analytics leads to establish standards and platforms that scale and can be leveraged in various initiatives throughout the organization
Deliver world class products in partnership with cross functional product teams (Product Managers, Data Engineers, Software Engineers, etc.)
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
Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency and A good idea can come from anywhere