Associate Machine Learning Engineer

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.

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:

• 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 machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and distributed big-data tools (e.g. Spark) is a plus

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

• Experience with Airflow, Docker, and Terraform is a plus

About Ibotta ("I bought a...")

Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.

To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.

Additional Details:

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

• Base compensation range: $93,000 - $117,000. Equity is included in overall compensation package. This compensation range is specific to the United State