Senior Staff Machine Learning Systems Engineer, Ads ML Platform at Reddit · LumiJobs
senior
$293k–$410k
H1B: yes
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.
Who You Might Be
You have 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems.
You have 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-scale data pipelines.
You have led broad, ambiguous, multi-team platform initiatives from strategy through adoption.
