Remote Senior ML Systems Engineer – Ads Platform

Reddit, Inc.; New York (NY); On-site; USD 293,000 - 410,000; Full time

Benefits offered by this job

Healthcare benefits

401k with employer match

Global benefits programs

Family planning support

Gender-affirming care

Mental health and coaching

Flexible vacation and volunteer time

Parental leave

Job summary

Reddit, Inc. is seeking a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle, from feature development to training data and offline experiments.

This role emphasizes scalable, production-grade ML platform work and cross-team collaboration in a fast-moving environment. You will shape architecture standards for ML feature and data systems, align priorities with the broader ML Platform vision, and mentor senior engineers while

Qualifications

• 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.
• Led broad, ambiguous, multi-team platform initiatives from strategy through adoption.

Responsibilities

• Own the technical strategy for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows.
• Align Ads ML platform priorities with Reddit’s broader ML Platform vision, translating Ads pain points into reusable platform capabilities where appropriate.
• Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency.
• Stay close to ML engineers and platform customers to identify high-leverage friction points and improve day-to-day development velocity.
• Build platform abstractions and workflow automation that make ML development faster, safer, more reliable, and more self-service.
• Over time, extend the platform strategy into serving and online experimentation workflows, creating a more seamless offline-to-online ML development experience.
• Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, resolve ambiguity, and drive durable execution.
• Mentor Staff and senior engineers, raise the architecture and operational bar, and help grow the next generation of technical leaders.

Skills

ML Platform

Distributed systems

Production ML

Platform tooling

Kubernetes

Spark

Airflow

BigQuery

Snowflake

Data pipelines

Tools

Spark

Flink

Kafka

Ray

Airflow

Kubernetes

BigQuery

Snowflake

Databricks

Iceberg

Job description

Reddit, Inc. is seeking a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle, from feature development to training data and offline experiments.

This role emphasizes scalable, production-grade ML platform work and cross-team collaboration in a fast-moving environment. You will shape architecture standards for ML feature and data systems, align priorities with the broader ML Platform vision, and mentor senior engineers while