---
title: 'Senior Staff Machine Learning Systems Engineer, Ads ML Platform at Reddit'
canonical: 'https://feeny.ai/job/senior-staff-machine-learning-systems-engineer-ads-ml-platform-reddit-united-yth4fhdqcns7'
type: 'job'
last_seen: '2026-09-20'
---

# Senior Staff Machine Learning Systems Engineer, Ads ML Platform at Reddit

- **Company:** Reddit
- **Location:** United States
- **Compensation:** $293k–$410k
- **Work type:** remote
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-20
- **Apply:** https://job-boards.greenhouse.io/reddit/jobs/8157275

## Job 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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit [www.redditinc.com](http://www.redditinc.com/).

Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence

## About Reddit

Reddit is a community of communities, built on shared interests, passion, and trust. With 100,000+ active communities and 101M+ daily active unique visitors, we’re one of the largest sources of conversation and knowledge on the internet. For more information, visit[redditinc.com](https://redditinc.com).

## Team Overview

The Ads ML Platform team builds infrastructure that accelerates high-scale ML systems and tooling for Ads ML, while extending reusable capabilities to broader Reddit ML use cases where appropriate. Our systems help ML engineers move faster across the full development lifecycle: creating features, generating training data, running offline experiments, validating model quality, launching production models, and operating ML systems reliably.

We are looking for a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the end-to-end Ads ML engineer lifecycle. The initial focus will be on the feature development and training iteration loop: making it faster and easier for ML engineers to build features, generate reliable training data, run experiments, and move from idea to validated model improvement. Over time, this scope will expand into serving and online experimentation workflows, creating a more seamless path from offline iteration to production impact.

This is a senior technical leadership role for someone who can combine deep systems expertise, production ML experience, architectural judgment, and cross-team influence.

## What You’ll Do

- Own the technical strategy for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows.
- Align Ads ML platform priorities with Reddit’s broader ML Platform vision, translating Ads pain points into reusable platform capabilities where appropriate.
- Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency.
- Stay close to ML engineers and platform customers to identify high-leverage friction points and improve day-to-day development velocity.
- Build platform abstractions and workflow automation that make ML development faster, safer, more reliable, and more self-service.
- Over time, extend the platform strategy into serving and online experimentation workflows, creating a more seamless offline-to-online ML development experience.
- Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, resolve ambiguity, and drive durable execution.
- Mentor Staff and senior engineers, raise the architecture and operational bar, and help grow the next generation of technical leaders.

Who You Might Be

- You have 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems.
- You have 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-scale data pipelines.
- You have led broad, ambiguous, multi-team platform initiatives from strategy through adoption.
- You have built platforms used directly by ML engineers, data scientists, or product teams developing production ML systems.
- You have deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure.
- You have worked with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies.
- You can balance urgent customer needs with durable long-term architecture and reusable platform patterns.
- You influence senior engineers and leaders through clear technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms.
- You are excited to shape how production ML systems are built, scaled, and operated, not only how models are trained.

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

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: $292,500—$409,500 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](https://redditinc.com/policies/candidate-privacy-policy).

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.

## About Reddit

## Company Overview
- **One-liner**: Reddit is the heart of the internet, a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions.
- **Entity Type**: Public (NYSE: RDDT, IPO March 2024)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2005
- **Founders**: Steve Huffman, Alexis Ohanian (original co-founders; Huffman remains CEO)

## Core Business
- **Primary industry**: Social Networking Platforms
- **Target customers**: B2C (users), B2B (advertisers, data licensing partners). Massive global consumer audience; advertisers range from SMB to enterprise.
- **Mission**: To empower communities, and make their knowledge accessible to everyone.

## Products & Services
- **Reddit Platform**: The core social network consisting of thousands of user-created subreddits. Users post, vote, comment, and build communities around any topic. Free to use.
- **Reddit Ads**: Self-serve and managed advertising solutions including display, video, and promoted posts. Key revenue driver.
- **Reddit Premium**: Subscription offering ad-free browsing, exclusive badges, and access to a private subreddit.
- **Reddit Public Access (API)**: Data feeds and APIs used by third-party developers, researchers, and increasingly for AI training data licensing.
- **KarmaLab**: Reddit’s in-house creative agency that helps brands create native content and campaigns.

## Market Standing
- **Valuation/Market Cap**: Publicly traded company; market cap fluctuates with stock price (specific figure not provided in search results). As of 2025 annual revenue of $2.2B, the company is valued in the tens of billions.
- **Key Metric**: Annual Revenue: ~$2.2B (latest fiscal year). Daily Active Uniques: 127M (as of March 31, 2026). Weekly Active Uniques: 493M+.
- **Notable Investors/Partners**: Parent company Advance Publications, Inc.; Tencent (led Series D); various institutional and retail investors post-IPO.
- **Growth Signals**: Headcount grew 21.2% YoY to 3,009 employees. Active job postings up 18.9% YoY. Revenue scaling rapidly as ad business grows toward $1B target. International expansion across 50+ countries.

## Competitive Advantages
- **Unique community-driven content**: User-generated, authentic, and highly engaged communities that are difficult to replicate. Over 100,000 active subreddits.
- **Data moat**: Massive archive of human conversations and knowledge (25B+ posts & comments) – increasingly valuable for AI training and research.
- **Brand recognition and cultural influence**: Reddit is a top-10 website globally, driving real-world impact (e.g., WallStreetBets, AMAs).
- **Moderator ecosystem**: Volunteer moderators curate high-quality content at scale, reducing content moderation costs while maintaining quality.

## Strategic Focus
- **Growing the advertising business**: Scaling ad revenue to $1B+ through improved ad products, self-serve tools, and international sales expansion.
- **AI and data licensing**: Monetizing Reddit’s unique content corpus through partnerships with AI companies (e.g., Google) and building AI-powered features.
- **International expansion**: Growing user base and ad sales in key markets (UK, Canada, Portugal, Netherlands, India, etc.).
- **Product innovation**: Investing in video, real-time features, and improving the user experience to retain and grow daily active users.

## Why Work Here
- **Culture**: Described as fun, quirky, and authentic. Core values include “Reddit’s Mission First,” “Add Value,” “Play to Win,” “Evolve,” and “Default Open.”
- **Benefits**: Comprehensive health benefits, flexible vacation & global days off, family planning funds, 4+ months paid parental leave, personal & professional development funds, workspace/home office benefits.
- **Employee Resource Groups (ERGs)**: Active ERGs including Ability, Allyship, Black People Reddit (BPR), Kaleidoscope, LGBTQ Snoo, OLE, RAN, Trans@Reddit, Women Eng, Women in Product, Women of Reddit.
- **Work environment**: Hybrid/office policy not explicitly stated in search results; many roles are likely based in San Francisco or other offices (NYC, Toronto, etc.). Engineering culture emphasizes autonomy, impact, and building products used by millions.
- **Career growth**: Rapid headcount growth and promotion opportunities; strong alumni network (Meta, Google, Amazon, etc.). Employee rating 3.8/5 on LinkedIn (compensation 4.1, culture 3.2, career 3.2).

## Sources
1. [redditinc.com](https://redditinc.com/careers) – Careers page with mission, values, benefits, ERGs, departments.
2. [job-boards.greenhouse.io](http://job-boards.greenhouse.io/reddit) – Current job openings.
3. [linkedin.com](https://www.linkedin.com/company/reddit-com) – Company profile with financials, headcount, revenue, funding, employee data.
4. [investor.redditinc.com](https://investor.redditinc.com/overview/default.aspx) – Investor relations with key metrics (DAU, WAU, communities).
5. [sec.gov](https://www.sec.gov/Archives/edgar/data/1713445/000171344526000062/redditinc10-k2025.pdf) – 2025 Form 10-K with corporate info, employee count, values, risk factors.

## Other roles at Reddit

- [Software Engineer, Ingestion Platform](https://feeny.ai/job/software-engineer-ingestion-platform-reddit-united-states-rcxdbfmbfhfz) — United States
- [Senior Product Manager, Go-To-Market Systems](https://feeny.ai/job/senior-product-manager-go-to-market-systems-reddit-chicago-4twtakajk7sc) — Chicago, IL / Los Angeles, CA / New York, NY / San Francisco, CA
- [Senior iOS Engineer, Media Experience](https://feeny.ai/job/senior-ios-engineer-media-experience-reddit-san-francisco-spvmhrcnedxn) — San Francisco, CA
- [Senior Frontend Software Engineer, Consumer Engineering](https://feeny.ai/job/senior-frontend-software-engineer-consumer-engineering-reddit-united-states-r9kehaemd1wj) — United States
- [Front End Software Engineer, Consumer Engineering](https://feeny.ai/job/front-end-software-engineer-consumer-engineering-reddit-united-states-sw20fvn3fcza) — United States
- [Staff Machine Learning Engineer, Retrieval](https://feeny.ai/job/staff-machine-learning-engineer-retrieval-reddit-united-states-a8z6fcjgnqqs) — United States
- [Senior Software Engineer, Consumer Engineering](https://feeny.ai/job/senior-software-engineer-consumer-engineering-reddit-united-states-gyq0cq8ygb20) — United States
- [Staff Software Engineer, Consumer Engineering](https://feeny.ai/job/staff-software-engineer-consumer-engineering-reddit-united-states-9z6xtp1vh96v) — United States
- [Lead Client Partner, Global Strategic Accounts (Tech)](https://feeny.ai/job/lead-client-partner-global-strategic-accounts-tech-reddit-new-york-yd2k989ew6jk) — New York, NY
- [Staff Software Engineer - Ingestion Platform](https://feeny.ai/job/staff-software-engineer-ingestion-platform-reddit-united-states-ks4knmpvj6py) — United States