Join Reddit as a Senior Machine Learning Systems Engineer to build foundational ML infrastructure for various teams.
Posted by employer 1 day ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
Skills & Technologies
What you'll build
- Architect ML infrastructure
- Implement ML data-governance tools
- Build tools for signal assessment
- Contribute to ML Data Platform
- Drive complex projects end to end
Must have
- 5+ years of experience in the ML Platform domain
- Experience with large-scale batch and streaming data processing
- Experience building production-quality systems
- Deep understanding of distributed systems
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Machine Learning Systems Engineer on the ML Platform team at Reddit, the individual will focus on designing and maintaining the infrastructure that supports various machine learning applications, including recommendations and content discovery. Key skills include experience with large-scale data processing, distributed systems, and a strong collaborative approach to project management. This position is suited for someone with over five years of experience in the ML domain, particularly those who thrive in cross-functional environments. The team plays a crucial role in enhancing Reddit's data governance and signal management capabilities.
Joblaze insights
- Listed today — first seen on Joblaze October 16, 2026. Last confirmed on Reddit's careers page October 16, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 64% of 66 comparable senior ai/ml roles in United States that list Machine Learning we track (median $208,000 across 35 companies). See Machine Learning salary trends
- Machine Learning appears in 18.1% of 529 comparable senior ai/ml roles in United States; Data Governance appears in 0.4% of 529 comparable senior ai/ml roles in United States.
Quick facts
- Is the Senior Machine Learning Systems Engineer, ML Platform role remote?
- Yes — Reddit lists this as a fully remote position.
- What's the salary range?
- Reddit lists $216,700–$303,400 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Machine Learning Systems Engineer, ML Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Data Governance, Machine Learning, Streaming Data Processing, batch processing, distributed systems.
- What seniority level is this role?
- Reddit targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Machine Learning Systems Engineer, ML Platform role at Reddit.
From the original posting
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.
#LI-Remote
Pay Transparency:
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.
Standard company text repeated across Reddit's postings is omitted here.