4 hours ago
Base Salary
$293k - $410k/yr
Responsibilities
- Own the technical strategy for the end-to-end Ads ML engineer lifecycle, beginning with feature development, training data, offline experimentation, and model iteration.
- Align Ads ML platform priorities with Reddit’s broader ML Platform vision and translate Ads needs into reusable platform capabilities.
- Define architecture and technical standards for ML feature and training-data systems covering batch and streaming computation, backfills, lineage, quality, observability, and online/offline consistency.
- Identify high-leverage friction points for ML engineers and improve development velocity through platform abstractions and workflow automation.
- Extend the platform strategy over time into model serving and online experimentation workflows.
- Partner with Ads, ML Platform, Data Platform, modeling, product, and engineering teams to resolve ambiguity and drive execution.
- Mentor Staff and senior engineers, raise architecture and operational standards, and develop technical leaders.
Requirements
- 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems.
- 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-scale data pipelines.
- Experience leading broad, ambiguous, multi-team platform initiatives from strategy through adoption.
- Experience building platforms used directly by ML engineers, data scientists, or product teams developing production ML systems.
- Deep experience with ML platforms, feature platforms, training data, experimentation, developer infrastructure, or distributed data infrastructure.
- Experience with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies.
- Ability to balance urgent customer needs with durable architecture and reusable platform patterns.
- Ability to influence senior engineers and leaders through technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms.
- Interest in shaping how production ML systems are built, scaled, and operated.
Benefits
- Flexible workforce arrangement with office access for employees near Reddit offices and remote work available in countries where Reddit has a physical presence.
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) with employer match.
- Global benefits supporting workspace, professional development, caregiving, and lifestyle needs.
- Family planning support.
- Gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave.
- Eligible equity in the form of restricted stock units and possible commission depending on the position offered.
Tech Stack
Categories
About Reddit
Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Share, vote, and decide what matters in everything from breaking news, to fandoms, lifehacks, gaming, sports, health, and the internet’s cutest animals. With over 100,000 subreddit communities about every topic you could think of (and thousands more you couldn’t), whatever it is, there’s a place for you on Reddit. Interested in joining our growing team? Check out redditinc.com/careers.