Join Reddit as a Staff Machine Learning Engineer to enhance ML-powered ad ranking systems in a fully remote role.
Posted by employer 3 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 7 hours ago
Skills & Technologies
What you'll build
- Design and train advanced ML models
- Develop and optimize features including embeddings
- Work closely with product, infra, and data teams
- Mentor other MLEs
- Shape the long-term modeling vision
Must have
- 7+ years of industry experience
- Strong experience with Deep Learning architectures
- Strong background in recommendation systems
- Experience working with large-scale datasets
- Strong problem-solving and experimentation skills
Nice to have
- Experience with conversion modeling
- Experience in ads marketplaces
- Publications in applied ML or ranking systems
Requirements
- Experience
- 7+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Staff Machine Learning Engineer will focus on designing and training advanced machine learning models to enhance Reddit's ad ranking systems. Key skills include expertise in deep learning frameworks like TensorFlow and PyTorch, along with a strong background in recommendation systems or ads ranking. This position is suited for seasoned professionals with over seven years of experience in applied machine learning, particularly those who have delivered impactful models in production. The App Ads Modeling team emphasizes collaboration across product, infrastructure, and data teams to drive effective model deployment.
Joblaze insights
- Listed 2 days ago — first seen on Joblaze September 26, 2026. Last confirmed on Reddit's careers page September 28, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 54% of 39 comparable staff ai/ml roles in United States that list PyTorch we track (median $220,000 across 24 companies).
- PyTorch appears in 18.5% of 254 comparable staff ai/ml roles in United States; Deep Learning appears in 3.9% of 254 comparable staff ai/ml roles in United States.
Quick facts
- Is the Staff Machine Learning Engineer, App Ads Modeling role remote?
- Yes — Reddit lists this as a fully remote position.
- What's the salary range?
- Reddit lists $230,000–$322,000 for this role.
- How much experience is required?
- At least 7 years of relevant experience for this Staff Machine Learning Engineer, App Ads Modeling role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Deep Learning, Machine Learning, PyTorch, TensorFlow.
- What seniority level is this role?
- Reddit targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Machine Learning Engineer, App Ads Modeling role at Reddit.
From the original posting
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:
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.