Staff Machine Learning Engineer, Ads Ranking

Summary

Join Reddit's Ads Ranking Org as a Staff Machine Learning Engineer to enhance Reddit's ML-powered ad ranking systems. You will design and train advanced ML models, develop and optimize features, collaborate with cross-functional teams, and mentor other MLEs. This role offers a direct path to impacting product and revenue, shaping foundational ML modeling, and working with diverse ad surfaces and cutting-edge techniques. The ideal candidate possesses 7+ years of industry experience, including several years in applied ML roles, and a strong background in recommendation systems or similar domains. The position provides opportunities for professional growth and development, a competitive salary and benefits package, and flexible work arrangements.

Requirements

• 7+ years of industry experience, including several years in applied ML roles
• Deep experience with 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

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.)

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days Off
• Generous paid Parental Leave
• Paid Volunteer time off