Senior Machine Learning Systems Engineer, ML Platform

Reddit
United States
Remote

In the 12 months to 30 Jun 2026, Reddit filed 17 H-1B positions titled "Machine Learning Engineer". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Strong fit for candidates with experience in ML infrastructure and a focus on cross-functional collaboration who thrive in remote settings.

Best fit for

  • Candidates with 5+ years in ML infrastructure and a track record of cross-functional project delivery
    — “5+ years of experience in the ML Platform domain.”
  • Individuals who excel in designing data-governance tools for ML signal management
    — “Lead the design, development, testing, and operation of ML signal-governance capabilities.”
  • Professionals comfortable with building and maintaining petabyte-scale data pipelines
    — “Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data.”

Things to consider

  • The role may require handling sensitive data due to the nature of signal metadata and user information.
    — “We will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording)”

How to stand out

  • Highlight your experience with large-scale data processing and distributed systems in your resume.
    — “Experience with large-scale batch and streaming data processing.”
  • Showcase your ability to build intuitive tools for data exploration and governance.
    — “Build tools that help teams assess signal importance and make informed lifecycle decisions.”
  • Demonstrate your collaboration with cross-functional teams on complex projects.
    — “Drive complex projects end to end from technical planning and design through implementation, testing, rollout, and ongoing operation.”
  • Emphasize your background in creating reliable and observable ML systems.
    — “Experience building production-quality systems with testing, monitoring, observability, and reliability practices.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • designed and implemented ML data governance tools
  • contributed to ML data platform
Typical background
data engineeringML infrastructure

Skills & requirements

Required

ML InfrastructureData GovernanceBatch And Streaming PipelinesDistributed SystemsData-intensive Architectures

Preferred

Machine LearningRecommendation Systems

Stack & domain

Machine LearningData GovernanceDistributed SystemsData-intensive ArchitecturesBatch And Streaming Data ProcessingPrediction LoggingTraining Data SystemsCustomer FocusCommunicationCollaborationData Engineering

About the role

Original posting from Reddit via Greenhouse

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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Who We Are: 

The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:

As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems.

Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage.

Build tools that help teams assess signal importance and make informed lifecycle decisions.

Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata.

Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data.

Drive complex projects end to end from technical planning and design through implementation, testing, rollout, and ongoing operation.

Who You Might Be:

5+ years of experience in the ML Platform domain.

Strong customer focus and experience driving projects from requirements to production in close collaboration with multiple cross-functional partners (XFN).

Experience with large-scale batch and streaming data processing.

Experience building production-quality systems with testing, monitoring, observability, and reliability practices.

Deep understanding of distributed systems and data-intensive architectures, with strong communication and collaboration skills.

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:$216,700—$303,400 USDIn 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.

Source: Reddit careers (Greenhouse)

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