Senior Staff ML Platform Engineer — Ads Systems & Scale

Reddit; United States; On-site; USD 293,000 - 410,000; Full time

Benefits offered by this job

Comprehensive Healthcare Benefits and

401k with Employer Match

Global Benefit programs

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & PTO

Parental Leave

Job summary

Reddit’s Ads ML Platform team seeks a Senior Staff Machine Learning Systems Engineer to lead the end-to-end engineer lifecycle. You’ll shape feature development, training data, offline experimentation, and model iteration workflows, aligning priorities with Reddit’s ML Platform vision.

You will define architectures for ML feature and training-data systems, ensuring batch/streaming computation, lineage, and observability are robust while staying close to ML engineers and platform customers to

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.
• Built platforms used directly by ML engineers, data scientists, or product teams developing production ML systems.
• Deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure.

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

Infrastructure experience

Distributed systems

ML platforms

Data platforms

Backend systems

Education

Bachelor's degree in a relevant field

Tools

Spark

Flink

Kafka

Ray

Airflow

Iceberg

Kubernetes

BigQuery

Snowflake

Databricks

Job description

Reddit’s Ads ML Platform team seeks a Senior Staff Machine Learning Systems Engineer to lead the end-to-end engineer lifecycle. You’ll shape feature development, training data, offline experimentation, and model iteration workflows, aligning priorities with Reddit’s ML Platform vision.

You will define architectures for ML feature and training-data systems, ensuring batch/streaming computation, lineage, and observability are robust while staying close to ML engineers and platform customers to