Machine Learning Engineer

Ibotta is seeking a 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. The specified high value hybrid days are Tuesday, Wednesday, and Thursday. Candidates must live in the United States.

What you will be doing:

• Design, develop and deploy large scale, big data-driven machine learning models that are integrated with key product features. Some examples of potential projects include:

  • 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

What we are looking for:

• 2+ years of professional experience as a Machine Learning Engineer, Data Scientist, or equivalent role, focusing on machine learning, statistical modeling, and/or ML infrastructure

• Bachelor’s Degree in Computer Science, Mathematics, Analytics, or related field required

• Proficiency in Python and SQL

• Experience working with machine learning frameworks (e.g. scikit-learn, xgboost, PyTorch, TensorFlow) and distributed big-data tools (Spark, Hive)

• Ability to communicate complex, technical machine learning implementations to diverse audiences

• Experience working with version control systems (e.g. git) and CI/CD for machine learning pipelines

• Ability to think critically and leverage domain expertise to build machine learning powered applications that help to achieve high-level business objectives