Machine Learning Engineer, Ads Optimization
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 5+ years
- Posted
- 2026-06-26T15:47:57-04:00
Key Requirements
Required Skills
Certifications
- CPA
Domain Knowledge
- Advertising
- Engineering
Benefits & Perks
edical, dental, and vision insurance, 401(k) program with employer match, ge
Requirements
of experience building, deploying, and operating machine learning systems in production (for IC4, typically 5+ years).
, or similar languages, with solid software engineering fundamentals.
Experience designing scalable data processing systems (e.g., Spark, Kafka, Airflow, BigQuery, Redis).
Demonstrated ability to translate ambiguous product or business problems into solutions and to improve measurable metrics.
advertising/auction systems
, online marketplaces, or search/ranking systems at scale, particularly in:
Compensation & Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Responsibilities
Machine Learning Engineers (IC3 and IC4)
to build and evolve the
auction, bidding and budgeting
systems that power Reddit Ads.
Design and implement
optimization algorithms
Team
This role sits in the
Ads Optimization
and
Ads Marketplace Quality (AMQ)
organizations, which are responsible for the health and performance of Reddit’s ads marketplace. We focus on:
Designing the