# Senior Machine Learning Engineer, Ads Optimization

Hiring organization: [Reddit](https://career.thegoodapps.co/organizations/reddit)

Canonical page: https://career.thegoodapps.co/jobs/c4da014f-6b22-4d75-b8ca-c349a058ecd5

Listed on Reddit's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: Remote - United States
- Remote: yes
- Salary: 216700 – 303400 USD per year

## Summary

Join Reddit's Ads Optimization team to develop machine learning systems powering the platform's auction, bidding, and budget allocation mechanisms. This role suits engineers with optimization expertise who want to work on high-scale marketplace problems balancing advertiser performance, user experience, and revenue.

_Our summary, not Reddit's wording._

## Skills named

Apache Airflow, Apache Kafka, Go, Google BigQuery, Java, Machine Learning, Python, Redis, SPARK

## Required

- 3–5+ years building, deploying, and operating ML systems in production
- Strong programming in Python, Java, Go, or similar
- Experience designing scalable data processing systems
- Ability to translate business problems into optimization solutions and improve measurable metrics
- Quantitative background (math, physics, finance, economics, operations research) or equivalent work experience
- Comfort with custom optimization logic and constraint handling

## Nice to have

- Experience with advertising, auction systems, online marketplaces, or search/ranking at scale
- Work in bidding, pacing, budget optimization, or auction/mechanism design
- Familiarity with large-scale real-time decision systems and low-latency production
- Background in feature engineering, model optimization, and production ML monitoring
- Cross-functional collaboration experience in Ads or marketplace contexts
- Advanced degree (MS or PhD) in CS, ML, Operations Research, Applied Math, or related field

Apply on Reddit's site: https://job-boards.greenhouse.io/reddit/jobs/8029120