Staff ML Engineer, App Ads Ranking (Remote)

Candidate; Northern (KY); Hybrid; USD 230,000 - 322,000; Full time

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 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.