Job Description

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.

Job Tags

Similar Jobs