Staff Machine Learning Engineer, App Ads Modeling

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

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Reddit has a flexible first workforce!

We’re looking for a Staff-level Machine Learning Engineer to join Reddit’s Ads Ranking Org. This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling.

The ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply. This position will sit on the App Ads Modeling team and report directly into the Ranking Org.

Responsibilities

Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking

Develop and optimize features including embeddings, contextual signals, and cross-session behavior

Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis

Mentor other MLEs and contribute to modeling best practices across the org

Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)

Required Qualifications

7+ years of industry experience, including several years in applied ML roles

Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)

Strong background in recommendation systems, ads ranking, or similar domains

Experience Working With Large-scale Datasets And Complex Feature Pipelines

Strong problem-solving and experimentation skills

State of the Art models for Ads or Recsys experience (ex: Transformers, Recsys)

Knowledge about Recsys or Ads funnel

Track record of delivering high-impact models in production settings

Comfort collaborating with infra and data teams on feature serving and training pipelines

Preferred Qualifications

Experience With Conversion Modeling, App Ads, Or Performance/brand Ads

Experience In Ads Marketplaces At Peer Companies

Publications, patents, or industry contributions in applied ML or ranking systems

Benefits

100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)

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

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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/

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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

$230,000

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$322,000 USD

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