Staff ML Engineer, App Ads Modeling (Remote)

reddit; San Francisco (CA); Remote; USD 230,000 - 322,000; Full time

Benefits offered by this job

Healthcare coverage

401k with employer match

Equity

Job summary

Reddit is seeking a Staff-level Machine Learning Engineer to join the App Ads Modeling team and report into the Ranking Org. You will design and train advanced ML models to power Reddit’s Ads Ranking and develop features and embeddings to improve effectiveness.

Work with product, infra and data teams on end-to-end deployment, performance analysis, and share modeling best practices; mentor other engineers and help shape long-term strategy across conversion and app ads.

Qualifications

• 7+ years of industry experience in applied ML roles.
• Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch).
• Background in recommendation systems, ads ranking, or similar domains.
• Experience working with large-scale datasets and complex feature pipelines.
• Track record of delivering high-impact models in production settings.

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.).

Skills

Deep Learning

TensorFlow

PyTorch

Recsys

Ads ranking

Model deployment

Large datasets

Job description

Reddit is seeking a Staff-level Machine Learning Engineer to join the App Ads Modeling team and report into the Ranking Org. You will design and train advanced ML models to power Reddit’s Ads Ranking and develop features and embeddings to improve effectiveness.

Work with product, infra and data teams on end-to-end deployment, performance analysis, and share modeling best practices; mentor other engineers and help shape long-term strategy across conversion and app ads.