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Senior Staff Machine Learning Systems

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Senior Staff Machine Learning Systems in USA

  • Remote

Responsibilities

  • Own the technical strategy for the end-to-end Ads ML engineer lifecycle, beginning with feature development, training data, offline experimentation, and model iteration.
  • Align Ads ML platform priorities with Reddit’s broader ML Platform vision and translate Ads needs into reusable platform capabilities.
  • Define architecture and technical standards for ML feature and training-data systems covering batch and streaming computation, backfills, lineage, quality, observability, and online/offline consistency.
  • Identify high-leverage friction points for ML engineers and improve development velocity through platform abstractions and workflow automation.
  • Extend the platform strategy over time into model serving and online experimentation workflows.
  • Partner with Ads, ML Platform, Data Platform, modeling, product, and engineering teams to resolve ambiguity and drive execution.
  • Mentor Staff and senior engineers, raise architecture and operational standards, and develop technical leaders.

Requirements

  • 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.
  • Experience leading broad, ambiguous, multi-team platform initiatives from strategy through adoption.
  • Experience building platforms used directly by ML engineers, data scientists, or product teams developing production ML systems.
  • Deep experience with ML platforms, feature platforms, training data, experimentation, developer infrastructure, or distributed data infrastructure.
  • Experience with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies.
  • Ability to balance urgent customer needs with durable architecture and reusable platform patterns.
  • Ability to influence senior engineers and leaders through technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms.
  • Interest in shaping how production ML systems are built, scaled, and operated.

Benefits

  • Flexible workforce arrangement with office access for employees near Reddit offices and remote work available in countries where Reddit has a physical presence.
  • Comprehensive healthcare benefits and income replacement programs.
  • 401(k) with employer match.
  • Global benefits supporting workspace, professional development, caregiving, and lifestyle needs.
  • Family planning support.
  • Gender-affirming care.
  • Mental health and coaching benefits.
  • Flexible vacation and paid volunteer time off.
  • Generous paid parental leave.
  • Eligible equity in the form of restricted stock units and possible commission depending on the position offered.

Salary: $293k - $410k/yr

Reddit

Reddit is a network of communities where people can delve into their interests, hobbies, and passions. There's a community for whatever you're interested in. You can post – the community can share content by posting stories, links, images and videos. You can comment on posts. You can vote – comme...

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