Senior Staff Machine Learning Systems Engineer, Ads ML Platform

Reddit
United States
Workplace: RemoteFull timeUSD 292,500 - 409,500 annuallyFunction: IT Operations (Systems/Network Admin)Skills: ["Technical leadership","Architectural judgment","Cross-team influence","Mentoring","Technical reasoning"]

Lead the technical strategy for the end-to-end Ads ML engineer lifecycle, improving how teams build features, generate training data, run offline experiments, and iterate models. Define architecture and technical standards across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency. Build abstractions and workflow automation that boost development velocity, then extend the platform into serving and online experimentation.

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FursaFursa
Reddit
Reddit
22 hours ago

Senior Staff Machine Learning Systems Engineer, Ads ML Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead the technical strategy for the end-to-end Ads ML engineer lifecycle, improving how teams build features, generate training data, run offline experiments, and iterate models. Define architecture and technical standards across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency. Build abstractions and workflow automation that boost development velocity, then extend the platform into serving and online experimentation.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: IT Operations (Systems/Network Admin)
Seniority: Mid level

Key Responsibilities

  • •Own the technical strategy for the end-to-end Ads ML engineer lifecycle, from feature development through training data, offline experimentation, and model iteration workflows.
  • •Align Ads ML platform priorities with Reddit’s broader ML Platform vision and translate Ads pain points into reusable platform 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.
  • •Build platform abstractions and workflow automation to make ML development faster, safer, more reliable, and self-service.
  • •Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, resolve ambiguity, and drive durable execution.

Pay and Benefits

Salary: USD 292,500 - 409,500 annually
Equity and Bonus:Equity
Perks:Health Insurance401kRemote WorkPaid LeaveParental Leave

Key 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.
  • •Led broad, ambiguous, multi-team platform initiatives from strategy through adoption.
  • •Built platforms used directly by ML engineers, data scientists, or product teams delivering production ML systems.
  • •Deep experience with ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure.
Experience:InfrastructureDistributed systemsML platformsData platformsProduction MLBig data
Skills:Technical leadershipArchitectural judgmentCross-team influenceMentoringTechnical reasoning
Languages:English
Tech Stack:SparkFlinkKafkaRayAirflowIcebergKubernetesBigQuerySnowflakeDatabricksBatch computationStreaming computationObservabilityLineage

Company Brief

Reddit
Operates Reddit, a large online community and discussion platform where users submit content, comment, and vote across topic-based communities (subreddits); monetizes via advertising, premium subscriptions, and awards.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2005
WebsiteLinkedIn