Staff Machine Learning Engineer, Ads Ranking
at Reddit
π United States
USD 230,000-322,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Machine Learning @ 3 TensorFlow @ 6 Experimentation @ 6 PyTorch @ 6Details
Reddit is seeking a Staff Machine Learning Engineer to join the Ads Ranking Org to improve ML-powered ad ranking systems across areas such as conversion, app ads, shopping, brand ads, and core ranking. The role focuses on model architectures, contextual embeddings, and conversion-optimized modeling to drive measurable product and revenue impact.
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, infrastructure, and data teams to drive end-to-end model deployment and performance analysis.
- Mentor other machine learning engineers and contribute to modeling best practices across the organization.
- Shape long-term modeling vision across domains such as conversion, app ads, shopping, and brand ads.
Requirements
- 7+ years of industry experience, including several years in applied ML roles.
- Deep experience with deep neural network (DNN) 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; comfortable running experiments and analyzing results.
Most Challenging Aspects
- Balancing generalization and specificity in modeling across different ad formats.
- Managing trade-offs between model complexity, latency, and prediction quality.
- Navigating cross-functional alignment to scale high-impact ML initiatives.
What Differentiates This Role
- Direct path to measurable product and revenue impact.
- Opportunity to shape foundational ML modeling across Reddit Ads.
- Flexible scope based on modeling strengths (conversion, app ads, core ranking, etc.).
- Exposure to diverse ad surfaces (feed, video, shopping, brand) and cutting-edge ML techniques.
Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401(k) match.
- Family planning support and gender-affirming care.
- Mental health and coaching benefits.
- Flexible vacation and Reddit global days off.
- Generous paid parental leave and paid volunteer time off.
- Flexible work arrangements, including remote options.
Pay Transparency
- Base pay range for this U.S.-based position: $230,000 - $322,000 USD.
- Role is eligible for equity (restricted stock units) and may be eligible for commission depending on position offered.
- Additional benefits listed on Reddit careers site.
Other Notes
- This posting indicates remote work options for United States-based candidates.
- Interviews for select roles may be recorded, transcribed, and summarized by AI; candidates can opt out prior to scheduled interviews.
- Reddit is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities.