Senior Machine Learning Infrastructure Engineer, Embedding Platform

Reddit
United States
Workplace: RemoteFull timeUSD 190,800 - 267,100 annuallyFunction: DevOps, Cloud & InfrastructureSkills: ["Communication","Independent execution","Collaboration","Stakeholder management","Engineering quality"]

Build and scale ML infrastructure for Reddit’s embedding and recommendation/personalization systems. Own end-to-end components across model development and the ML platform, including training and evaluation pipelines, production rollout, distributed training, and low-latency serving. Improve data-to-deployment workflows (feature generation, deployment, monitoring), apply modern deep learning and foundation-model approaches, and drive rigorous offline/online evaluation with experimentation and feedback loops.

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FursaFursa
Reddit
Reddit
1 day ago

Senior Machine Learning Infrastructure Engineer, Embedding Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and scale ML infrastructure for Reddit’s embedding and recommendation/personalization systems. Own end-to-end components across model development and the ML platform, including training and evaluation pipelines, production rollout, distributed training, and low-latency serving. Improve data-to-deployment workflows (feature generation, deployment, monitoring), apply modern deep learning and foundation-model approaches, and drive rigorous offline/online evaluation with experimentation and feedback loops.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, train, and improve large-scale ML platforms for recommendation or personalization systems.
  • •Own major ML system components end to end, from problem framing through production rollout.
  • •Build and optimize end-to-end ML pipelines covering data preparation, feature generation, training, evaluation, and deployment.
  • •Improve distributed training, model efficiency, and online inference performance for low-latency, high-throughput systems.
  • •Drive offline and online evaluation, including experimentation, model diagnostics, and feedback-loop improvements.

Pay and Benefits

Salary: USD 190,800 - 267,100 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kParental LeaveFamily Planning

Key Requirements

  • •5+ years of machine learning engineering experience, focused on large-scale ML infrastructure and recommendation or personalization systems.
  • •Experience with modern deep learning architectures, including sequence models and foundational models.
  • •Demonstrated ability to build or scale ML platforms for large datasets and high-traffic production environments.
  • •Solid understanding of distributed training and inference concepts such as data/model/pipeline parallelism and related optimization techniques.
  • •Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow.
Experience:Machine learning engineeringRecommendation systemsPersonalization
Skills:CommunicationIndependent executionCollaborationStakeholder managementEngineering quality
Languages:English
Tech Stack:PythonPyTorchTensorFlow

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