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
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 $1.8 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.
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), Lifestyle Spending Account, 401k match, and equity. Denver office perks include paid parking, bagel Thursdays, snacks and occasional meals.
- Base compensation range: $136,000 - $158,000. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.
- Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
- Applicants must be currently authorized to work in the United States on a full-time basis.
- For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
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What We Do
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 $1.8 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.
Why Work With Us
Ibotta, based in sunny Denver, offers a hybrid work model for work life balance. Our award-winning culture values employee growth & well-being with competitive benefits. We champion diversity & create a collaborative environment for continuous learning & advancement.
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Ibotta Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ibotta empowers our employees to have the best of both worlds with our Hybrid work schedule. Our teams are in the office Tuesday through Thursday each week with remote flexibility each Monday and Friday.