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HomeCompaniesRedditSenior Staff Machine Learning Systems Engineer, Indexing & Retrieval Search

Senior Staff Machine Learning Systems Engineer, Indexing & Retrieval Search

Reddit · Remote - United States · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyReddit
TitleSenior Staff Machine Learning Systems Engineer, Indexing & Retrieval Search
Normalized title-
Department / teamMachine Learning
LocationUnited States
Work modelRemote / Remote
Employment type-
SalarySalary
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-22 / 2026-05-29
Changed / last seen2026-06-19 / 2026-06-19

Related slices

PageWhat it containsOpen
Company jobsActive postings from Reddit.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Machine Learning.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyReddit
Source1b5f7232-3035-4e19-b28e-52cc5e96c57e
ATS providerGreenhouse

Description

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team The ML Indexing & Retrieval Platform team at Reddit is responsible for building and scaling the core infrastructure that powers machine learning driven recommendations. We design and maintain systems for ML data ingestion, low-latency retrieval services, and end-to-end lifecycle management of data. With a focus on performance, reliability, and scalability, we enable real-time access to high-quality data that supports a wide range of applications, including Content Understanding, Semantic, Lexical retrieval & GenAI applications. How You'll Have Impact You’ll lead the development of next-generation ML Indexing & Retrieval systems, owning the full lifecycle from ideation to production and going beyond incremental improvements to reimagine core platform capabilities. As part of a high-impact, cross-functional team, you’ll solve complex technical challenges to build scalable, reliable platforms that empower developers to efficiently ship critical ML features. Languages: Go, Java, Python, or any object oriented programming language Frameworks: Flink, Airflow, Spark for large scale batch & stream processing Databases: Familiarity with Vector, Lexical & Key-Value Databases Tools: Kubernetes, Docker, AWS, GCP What You’ll Do Lead the technical strategy, architecture, and implementation of Reddit’s next-generation ML Indexing & Retrieval engine, integrating capabilities across lexical and vector indexing, low-latency retrieval, and emerging GenAI applications. Partner closely with product engineers across Content Understanding, Search, Feeds, Ads, Growth, and Safety to deliver high-quality experiences. Define best practices for observability, reliability, and operational excellence in large-scale distributed systems. Mentor and guide engineers in designing scalable infrastructure and adopting robust DevOps and SRE principles. Collaborate with infrastructure, and ML teams to ensure the platform evolves to meet the needs of Reddit’s growing user base and diverse content ecosystem. Who You Might Be: 10+ years of experience in software engineering, specializing in Indexing and Retrieval systems. 3+ years in technical leadership, architecting and scaling distributed systems in production environments. Deep expertise in large-scale data platforms, including batch indexing and stream processing. Proven experience designing and operating large-scale, low-latency retrieval services. Expertise in lexical and vector search retrieval technologies, such as Milvus, Vespa, or Elasticsearch. Skilled in designing cloud-native architectures and managing containerized workloads using Kubernetes and AWS/GCP. Adept at translating complex technical challenges into clear, actionable strategies. Strong communicator and mentor who leads through collaboration, influence, and technical excellence. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave # LI -Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $279,200 — $390,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Full job record

Job IDd4714dd0af352fa6def9f30c694ee8aa15406f83
Org ID75711b72-973a-4ca5-9542-6e4d2b9d0be5
Source ID1b5f7232-3035-4e19-b28e-52cc5e96c57e
Board ID1b5f7232-3035-4e19-b28e-52cc5e96c57e
Providergreenhouse
Provider Job Key7844238
TitleSenior Staff Machine Learning Systems Engineer, Indexing & Retrieval Search
Normalized Title
Statusactive
Activeyes
Location TextRemote - United States
DepartmentMachine Learning
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary RawSalary
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/reddit/jobs/7844238
Apply URLhttps://job-boards.greenhouse.io/reddit/jobs/7844238
First Seen At2026-05-29 22:40:12Z
Last Seen At2026-06-19 07:32:30Z
Last Checked At2026-06-19 07:32:30Z
Last Changed At2026-06-19 07:32:30Z
Inactive At
Source Posted At2026-04-22 23:19:47Z
Source Updated At2026-06-18 13:57:39Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=reddit/date=2026-06-19/2026-06-19T07-32-30-567Z-0fb0f93c0b5653e3e860b0a6728cf6486e39ad06b8ed6e51e720171091a6c99a.json
Event Fields
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  "last_changed_at": "2026-06-19T07:32:30.879Z",
  "active_status": "active"
}
Parsed Structured
{
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    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
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  "launch_scope": {
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    "location": {
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      "city": null,
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      "is_remote": true,
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  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "metadata": [
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      "id": 944668,
      "name": "Position ID",
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      "value_type": "short_text"
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      "value_type": "single_select"
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      "name": "Scheduled Weekly Hours",
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      "value_type": "single_select"
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  ],
  "updated_at": "2026-06-18T09:57:39-04:00",
  "departments": [
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      "name": "Machine Learning",
      "child_ids": [],
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    }
  ],
  "company_name": "Reddit",
  "requisition_id": 3275825,
  "first_published": "2026-04-22T19:19:47-04:00",
  "application_deadline": null
}
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