Senior Staff ML Systems Engineer, Ads Platform - Remote

United States Digital Space LLC; United States; Remote; USD 293,000 - 410,000; Full time

Benefits offered by this job

Comprehensive Healthcare Benefits

401k with Employer Match

Global Benefit programs

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching

Flexible Vacation & Volunteer Time Off

Generous Paid Parental Leave

Job summary

Reddit is seeking a Senior Staff Machine Learning Systems Engineer to lead the end-to-end Ads ML engineer lifecycle, focusing on feature development, training data, and offline experimentation. You will shape architecture, standards, and platform capabilities used by ML engineers and data scientists across teams.

The role emphasizes cross-team collaboration, velocity, and building reusable abstractions to accelerate production ML deployments and experimentation workflows, with opportunities to

Qualifications

• 8+ years of 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 the company’s broader ML Platform vision, translating pain points into reusable capabilities.
• 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 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 seamless offline-to-online ML development experience.
• Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership 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

Distributed systems

ML platforms

Data platforms

Production ML

Feature platform

Platform strategy

Cross-team influence

Tools

Spark

Flink

Kafka

Ray

Airflow

Kubernetes

BigQuery

Snowflake

Databricks

Job description

Reddit is seeking a Senior Staff Machine Learning Systems Engineer to lead the end-to-end Ads ML engineer lifecycle, focusing on feature development, training data, and offline experimentation. You will shape architecture, standards, and platform capabilities used by ML engineers and data scientists across teams.

The role emphasizes cross-team collaboration, velocity, and building reusable abstractions to accelerate production ML deployments and experimentation workflows, with opportunities to