Principal Machine Learning Engineer

Ibotta
Denver, Arizona, Arkansas, California, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Montana, Nevada, New Jersey, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin
Workplace: HybridFull timeUSD 228,000 - 253,000 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Mentoring","Communication","Technical leadership","Mentoring senior engineers","Influencing without authority"]

Lead high-impact machine learning initiatives for Core Data & Analytics, defining ML strategy and delivery for foundation models, data systems, and large-scale ML platforms. Own the research, design, and production deployment of scalable ML architectures and workflows, partnering with architecture and ML platform teams to integrate pipelines into broader infrastructure. Serve as a technical thought leader and mentor engineers and data scientists while communicating complex ML outcomes to technical and business stakeholders.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Ibotta
Ibotta
2 months ago

Principal Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Lead high-impact machine learning initiatives for Core Data & Analytics, defining ML strategy and delivery for foundation models, data systems, and large-scale ML platforms. Own the research, design, and production deployment of scalable ML architectures and workflows, partnering with architecture and ML platform teams to integrate pipelines into broader infrastructure. Serve as a technical thought leader and mentor engineers and data scientists while communicating complex ML outcomes to technical and business stakeholders.
Location: Denver, Arizona, Arkansas, California, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Montana, Nevada, New Jersey, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Research, design, and deploy next-generation ML architectures, workflows, and standards integrated with key product features.
  • •Partner with architecture and ML platform teams to integrate ML services and pipelines into larger technology infrastructure.
  • •Lead the design, development, and deployment of production-grade ML systems across the organization.
  • •Identify, research, prototype, and evaluate cutting-edge big data and ML technologies.
  • •Mentor ML engineers and data scientists and communicate complex ML concepts and results to stakeholders.

Pay and Benefits

Salary: USD 228,000 - 253,000 annually
Equity and Bonus:Equity
Perks:MedicalDentalVision401kEquityPaid Leave

Key Requirements

  • •10+ years of professional experience as a Machine Learning Engineer or Software Engineer, focused on deploying ML systems at scale.
  • •Advanced knowledge of ML frameworks such as Sklearn, TensorFlow, Sagemaker, and Spark ML.
  • •Expertise with distributed big-data tools and event-based architectures, ideally Spark and Kafka.
  • •Hands-on experience prototyping, building, releasing, and monitoring production ML models for high-traffic applications.
  • •Experience driving org-wide ML strategy or setting technical standards across teams.
Experience:10+ years
Skills:MentoringCommunicationTechnical leadershipMentoring senior engineersInfluencing without authority
Tech Stack:PythonSparkDatabricksAWSSagemakerSklearnTensorFlowKafka

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Ibotta
Ibotta is a mobile cashback and rewards platform that enables consumers to earn rebates and discounts on grocery, retail, and online purchases while providing brands and retailers with promotional and shopper insights.
Industry: E-commerce
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Funding: Series D
Headquarters: Denver, United States
Founded: 2012
WebsiteLinkedIn