Machine Learning Engineer

Ibotta•Denver, CO

1d•$136,000 - $158,000•Hybrid

About The Position

Ibotta is seeking a 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 such as Python, Spark, AWS, Sagemaker, etc. As an ML Engineer, you will be responsible for using the latest developments in machine learning to build accurate and reliable machine learning models for use throughout the organization. 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. You’ll be able to advance not only your technical skills, but your organizational and leadership skills as well, by contributing to the creation of best practices for the team and company, and learning from the more senior machine learning engineers, data scientists and managers on the 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.

Requirements

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
Strong SQL knowledge and experience with manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams
Proficiency in Python
Experience working with machine learning frameworks (e.g. scikit-learn, xgboost) and distributed big-data tools (Spark, Hive)
Experience building and maintaining realtime model endpoints/APIs
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
A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning
Ability to think critically and leverage domain expertise to build machine learning powered applications that help to achieve high-level business objectives

Responsibilities

Design, develop and deploy large scale, big data-driven machine learning models that are integrated with key product features
Build and scale ML related infrastructure to help streamline the development, evaluation, deployment, and re-usability of core ML features and services
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
Analyze, and at times build, large and novel datasets to extract actionable insights to inform model development and understand customer behavior and or product performance
Collaborate with Machine Learning Engineers and Data Scientists to establish standards and solutions that scale and can be leveraged in various initiatives throughout the organization
Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency and A good idea can come from anywhere