Staff Machine Learning Engineer, App Ads Modeling

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $230k - $322k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 0%

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Design and train advanced ML models, including DNNs and transformers, to power Reddit Ads Ranking • Develop and optimize features including embeddings, contextual signals, and cross-session behavior • Work with product, infrastructure, and data teams on end-to-end model deployment and performance analysis • Mentor other machine learning engineers and contribute to modeling best practices across the organization • Shape the long-term modeling vision across conversion, app ads, shopping, brand, or related domains • Join Reddit’s Ads Ranking Organization and App Ads Modeling team • Report directly into the Ranking Organization

🎯 Requirements

• 7+ years of industry experience, including several years in applied ML roles • Strong experience with Deep Learning architectures and ML frameworks, including TensorFlow and 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, such as Transformers or 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 • Experience with conversion modeling, app ads, or performance/brand ads preferred • Experience in ads marketplaces at peer companies preferred • Publications, patents, or industry contributions in applied ML or ranking systems preferred

🏖️ Benefits

• 100% remote opportunity • Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs covering workspace, professional development, and caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave • Equity in the form of restricted stock units • Potential commission eligibility depending on the position offered • Medical, dental, and vision insurance • AI interview recording opt-out opportunity • Reasonable accommodations for qualified individuals with disabilities and disabled veterans