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Ibotta

Machine Learning Engineer

Reposted An Hour Ago
Hybrid
Denver, CO
136K-158K Annually
Mid level
Hybrid
Denver, CO
136K-158K Annually
Mid level
Design and deploy scalable machine learning models, analyze datasets, collaborate on ML standards, and communicate solutions to stakeholders.
The summary above was generated by AI

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.

What you will be doing:

  • 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

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

  • 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

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), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals.

  • Base compensation range: $136,000 - $158,000. Equity is included in overall compensation package. 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.

  • Applicants are accepted until the position is filled.

  • 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.

Recruiting Agency Notice
Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.

#LI-Hybrid

#BI-Hybrid

Top Skills

AWS
Ci/Cd
Git
Hive
Python
Sagemaker
Scikit-Learn
Spark
SQL
Xgboost
HQ

Ibotta Denver, Colorado, USA Office

Currently hybrid - our headquarters are located in central Downtown Denver - convenient access to public transportation and Denver's best restaurants!

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