Staff Machine Learning Engineer, App Ads Modeling

Candidate

Northern (KY)

Hybrid

USD 230,000 - 322,000

Full time

2 days ago
Be an early applicant
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Benefits offered by this job

100% remote opportunity
Healthcare benefits
401k with employer match
Global benefit programs

Job summary

Reddit is hiring a Staff-level Machine Learning Engineer to join the Ads Ranking Org. You will design and train advanced ML models to power Reddit Ads Ranking, developing embeddings, contextual signals, and cross-session behavior to drive performance.

You will collaborate with product, infra, and data teams to deploy models end-to-end, mentor other ML engineers, and shape long-term modeling strategy across conversion, app ads, shopping, and brand domains.

Qualifications

  • 7+ years of industry experience in applied ML roles.
  • Strong experience with modern DL architectures and ML frameworks (TensorFlow, PyTorch).
  • Background in recommender systems, ads ranking, or similar domains.
  • Experience with large-scale datasets and complex feature pipelines.
  • Strong problem-solving and experimentation skills.
  • State of the Art models for Ads or RecSys (Transformers, Recsys).
  • Knowledge about RecSys or Ads funnel.
  • Track record of delivering high-impact models in production.

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 with product, infra, and data teams to drive end-to-end model deployment and analysis.
  • Mentor other MLEs and contribute to modeling best practices across the org.
  • Shape long-term modeling vision across multiple domains (conversion, app ads, shopping, brand).

Skills

Deep Learning
TensorFlow
PyTorch
Recommender systems
Ads ranking
Large-scale data
Problem solving
Transformers
Production models

Tools

Spark

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.

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

#LI-AJ1

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:$230,000—$322,000 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.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Staff Machine Learning Engineer, App Ads Modeling New Remote - United States
Staff Machine Learning Engineer, App Ads Modeling New Remote - United States

Reddit, Inc. • Northern (KY)

Hybrid
USD 230,000 - 322,000
Healthcare benefits
Income replacement programs
401k with employer match
+3
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Reddit, Inc. • San Francisco (CA)

On-site
USD 216,700 - 303,400
Comprehensive Healthcare
401(k) with employer match
Global Benefit programs
+4
Senior Machine Learning Systems Engineer, Ads ML Experience Platform
Senior Machine Learning Systems Engineer, Ads ML Experience Platform

Nerdleveltech • Northern (KY)

Hybrid
USD 217,000 - 303,000
Comprehensive Healthcare Benefits and
401k with Employer Match
Global Benefit programs
+5
Staff Machine Learning Engineer, Shopping Ads
Staff Machine Learning Engineer, Shopping Ads

Reddit • United States

Remote
USD 230,000 - 322,000
Healthcare & Insurance
401k with Employer Match
Global benefits programs
+3
Senior Staff Machine Learning Engineer, Ads Ranking New Remote - United States
Senior Staff Machine Learning Engineer, Ads Ranking New Remote - United States

Reddit, Inc. • Northern (KY)

Hybrid
USD 293,000 - 410,000
Remote work
Equity options
Health benefits
+4
Staff Machine Learning Systems Engineer
Staff Machine Learning Systems Engineer

Reddit, Inc. • San Francisco (CA)

On-site
USD 230,000 - 322,000
Equity in RSUs
Medical, dental, and vision insurance
401(k) employer match
+1
Senior Staff Machine Learning Systems Engineer, Ads ML Platform New Remote - United States
Senior Staff Machine Learning Systems Engineer, Ads ML Platform New Remote - United States

Reddit, Inc. • Northern (KY)

Remote
USD 293,000 - 410,000
Healthcare benefits
401k with employer match
Global benefits programs
+2
Staff Machine Learning Engineer, Retrieval New Remote - United States
Staff Machine Learning Engineer, Retrieval New Remote - United States

Reddit, Inc. • Northern (KY)

Hybrid
USD 230,000 - 322,000
Remote work
Healthcare benefits
401k with employer match
+2
Staff Machine Learning Engineer, Consumer
Staff Machine Learning Engineer, Consumer

Reddit • United States

Remote
USD 230,000 - 322,000
Healthcare benefits
Employer 401k match
Global benefits
+3
Senior Machine Learning Engineer, Ads Optimization
Senior Machine Learning Engineer, Ads Optimization

Quiet Capital • United States

On-site
USD 217,000 - 303,000
Healthcare Benefits
401k with Employer Match
Equity in RSUs
+1