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Staff Machine Learning Engineer, App Ads Modeling
Reddit, Inc.. Design and train advanced ML models, including DNNs and transformers, to power Reddit Ads Ranking .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and training advanced machine learning models, particularly in deep learning architectures and frameworks like TensorFlow and PyTorch. Proven ability to collaborate with cross-functional teams and mentor peers while delivering high-impact models in production settings.
Highest-signal resume keywords
Deep Learning ArchitecturesTensorFlowPyTorchRecommendation SystemsAds Ranking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningModel DeploymentFeature EngineeringData AnalysisExperimentation
Soft Skills
Problem-SolvingMentoringCollaboration
Tools & Technologies
Large-Scale DatasetsFeature Pipelines
Industry Keywords
Ads MarketplaceConversion ModelingApp AdsPerformance AdsRanking Systems
Tech Stack
Tools & technologiesPyTorchTensorflow
About the role
Key responsibilities & impact- Design and train advanced ML models, including DNNs and transformers, to power Reddit Ads Ranking
- Develop and optimize features including embeddings, contextual signals, and cross-session behavior
- Work with product, infrastructure, and data teams on end-to-end model deployment and performance analysis
- Mentor other machine learning engineers and contribute to modeling best practices across the organization
- Shape the long-term modeling vision across conversion, app ads, shopping, brand, or related domains
- Join Reddit’s Ads Ranking Organization and App Ads Modeling team
- Report directly into the Ranking Organization
Requirements
What you’ll need- 7+ years of industry experience, including several years in applied ML roles
- Strong experience with Deep Learning architectures and ML frameworks, including TensorFlow and 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, such as Transformers or 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
- Experience with conversion modeling, app ads, or performance/brand ads preferred
- Experience in ads marketplaces at peer companies preferred
- Publications, patents, or industry contributions in applied ML or ranking systems preferred
Benefits
Comp & perks- 100% remote opportunity
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs covering workspace, professional development, and caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
- Equity in the form of restricted stock units
- Potential commission eligibility depending on the position offered
- Medical, dental, and vision insurance
- AI interview recording opt-out opportunity
- Reasonable accommodations for qualified individuals with disabilities and disabled veterans