Staff Machine Learning Infrastructure Engineer, Embedding Platform

Reddit
United States
Workplace: RemoteFull timeUSD 253,300 - 354,600 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 8+ yearsSkills: ["Leadership","Mentoring","Communication","Technical planning","Cross-functional collaboration"]

Own the technical direction of a large-scale ML infrastructure platform for Reddit’s Embedding Machine Learning Platform team. Lead development of next-generation deep learning architectures, scalable distributed training across GPUs/cloud, and low-latency real-time serving for embeddings. Set ML strategy and roadmaps to improve personalization and recommendation quality, bring research into production, and mentor senior and mid-level engineers while collaborating with cross-functional AI teams.

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FursaFursa
Reddit
Reddit
1 day ago

Staff Machine Learning Infrastructure Engineer, Embedding Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Own the technical direction of a large-scale ML infrastructure platform for Reddit’s Embedding Machine Learning Platform team. Lead development of next-generation deep learning architectures, scalable distributed training across GPUs/cloud, and low-latency real-time serving for embeddings. Set ML strategy and roadmaps to improve personalization and recommendation quality, bring research into production, and mentor senior and mid-level engineers while collaborating with cross-functional AI teams.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Architect and lead development of next-generation, large-scale machine learning techniques.
  • •Define and execute ML strategy to enhance personalization and recommendation quality.
  • •Lead research initiatives for scalable ML systems and real-time model adaptation, bringing advancements into production.
  • •Partner with ML infrastructure teams to build distributed training systems that scale across multiple GPUs and cloud environments.
  • •Establish and optimize real-time serving architectures for large-scale embeddings, delivering low-latency inference and high throughput.

Pay and Benefits

Salary: USD 253,300 - 354,600 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid LeaveParental LeaveRemote Work

Key Requirements

  • •8+ years of machine learning engineering experience focused on large-scale ML systems and recommendation/personalization.
  • •Expertise in modern deep learning architectures, including sequence models and foundational models.
  • •Strong software engineering skills (Python, C++, or similar) with ML infrastructure, high-performance computing, and cloud-based ML pipelines.
  • •Proven ability to design, implement, and optimize scalable ML architectures from distributed training to real-time inference.
  • •Experience mentoring engineers and driving ML strategy, influencing cross-functional teams, plus familiarity with A/B testing and model evaluation in production systems.
Experience:8+ yearsMachine learningRecommendationPersonalizationDeep learningCloud computingHigh-performance computing
Skills:LeadershipMentoringCommunicationTechnical planningCross-functional collaboration
Languages:English
Tech Stack:PythonC++Deep learningSequence modelsFoundational modelsA/B testingGPUCloudEmbeddingsReal-time inferenceReal-time feedback loops

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