Senior Staff Machine Learning Systems Engineer, Ads ML Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the technical strategy for the complete Ads ML engineer lifecycle, starting from feature development, training data, offline experimentation, and model iteration workflows.

• Ensure that Ads ML platform priorities are in sync with Reddit’s overarching ML Platform vision.

• Establish architecture and technical standards for ML feature and training-data systems encompassing batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency.

• Recognize high-impact friction points and enhance the daily development speed of ML engineers.

• Create platform abstractions and automate workflows to facilitate quicker, safer, and more dependable self-service ML development.

• Expand the platform strategy to include serving and online experimentation workflows.

• Collaborate with Ads, ML Platform, Data Platform, modeling, product, and engineering teams.

• Guide Staff and senior engineers, elevate the architecture and operational standards, and cultivate technical leaders.

⛳️ Requirements

• 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems.

• 4+ years of experience in building or managing production ML infrastructure, feature platforms, training data systems, experimentation systems, or extensive data pipelines.

• Proven experience in leading broad, ambiguous, multi-team platform initiatives from strategy to adoption.

• Demonstrated ability to build platforms utilized directly by ML engineers, data scientists, or product teams focusing on production ML systems.

• Extensive expertise in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure.

• Familiarity with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or comparable technologies.

• Capacity to balance immediate customer demands with sustainable long-term architecture and reusable platform patterns.

• Ability to influence senior engineers and leaders through technical reasoning, RFCs, design reviews, decision frameworks, and operational processes.

• Enthusiasm for shaping the way production ML systems are constructed, scaled, and managed.

🏝️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.

• 401k with Employer Match.

• Global Benefit programs that accommodate your lifestyle, from workspace to professional development to caregiving support.

• Family Planning Support.

• Gender-Affirming Care.

• Mental Health & Coaching Benefits.

• Flexible Vacation & Paid Volunteer Time Off.

• Generous Paid Parental Leave.

• Equity in the form of restricted stock units.

• Medical, dental, and vision insurance.

• Generous time off for vacation and parental leave.